基于复杂网络的机械产品零部件分析与配置技术研究
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摘要
论文将复杂网络理论和算法应用于复杂机械产品的大批量定制领域，对复杂机械产品的零部件分析与配置技术进行了较为系统和深入的研究。提出了基于复杂网络理论和算法的产品零部件分析方法、配置模块关联系数计算方法、配置产品尺寸参数传递与修改方法、产品模块化评价方法。以工业汽轮机等产品为例，对上述方法进行了应用验证。
第一章对论文的研究背景、相关研究领域的研究现状以及目前存在的问题等进行了阐述，给出了论文的主要研究内容以及论文的整体框架结构。
第二章对复杂网络理论进行了简要介绍，建立了机械产品网络理论与方法体系结构，对复杂网络的简单路径搜索算法进行了研究，提出了一种有向无环网络的简单路径搜索算法。
第三章提出了产品结构网络(零部件关系网络)构建方法，网络统计参数计算方法，并对统计参数进行了计算，给出了统计参数双对数坐标分布曲线。对各个统计参数之间的相关系数以及各个统计参数对零部件通用性的影响程度进行了分析，提出了一种产品族零部件通用性分析方法。对产品结构网络的特点进行了分析，结合网络的结点度分布规律，提出了产品结构网络的演化规律与演化动力学方程。对结点入度演化规律进行了理论分析，得到了结点入度概率密度解析表达式。对零部件增量与产品增量之间的关系进行了分析，提出了一种基于结点入度演化规律的零部件用量预测方法。
第四章提出了扩展的产品主结构网络构建方法，提出了配置模块关联系数计算方法以及关联系数的传递计算方法，提出了基于关联系数的配置模块选择方法，设计并实现了一配置模块选择辅助决策系统。
第五章对产品尺寸约束关系提取方法进行了研究，提出了一种尺寸约束关系提取方法，提出了产品尺寸约束关系网络构建方法。研究并提出了尺寸参数在产品的零部件内部以及零部件之间的传递方法，提出了一种基于尺寸参数传递方法的产品变型设计与产品尺寸参数修改方法。
第六章研究了产品结构网络的结点增长速度与结点度分布曲线斜率之间的关系，提出了一种基于结点度分布曲线斜率的产品模块化程度比较方法。提出了一种产品模块分解方法，提出了一种基于产品尺寸约束关系网络的产品模块化程度定量评价方法。
第七章对全文进行了总结，并对后续的研究工作进行了展望。
In this dissertation, applying complex network theory and its algorithms to mass customization of complicated mechanical product. Component analysis method and configuration technology of complicated mechanical product are studied comprehensively and deeply. Component analysis method and configuration module selection and modification method based on complex network theory are proposed. As an example, the methods are applied to industrial steam turbine and other products, the methods are verified.
In chapter 1, the research background of the dissertation, the current situation and existing problems of the research are expatiated. The main content and framework of the dissertation are given.
In chapter 2, complex network theory is discussed briefly, theoretical and methodological framework of mechanical product network is proposed. The detecting algorithm for simple path of complex network is studied and a universal algorithm for detecting all simple paths between any two nodes in a weighted directed acylic network is presented.
In chapter 3, the constructing method of product structure network and computing method of statistical parameters are proposed. The statistical parameters are calculated. Bi-logarithmic coordinate distribution curves of statistical parameter are obtained. Correlation between the parameter and parameter's affecting degree to universality of component are analyzed. A universal analysis method of component is proposed. The characteristics of the network are analyzed. Combining the degree distribution rule, the evolving rule and dynamic equation of component relation network are proposed. The in-degree evolving rule is analyzed. Analytic expression of in-degree probability density of nodes is derived. Relation between the component increment and product increment is analyzed. Based on the in-degree evolving rule, a forecast method of increment of component number is presented.
In chapter 4, the constructing method of extended product main structure network is proposed. An algorithm of correlative coefficient, between any two nodes of filiation or fraternal relation of extended product main structure, is presented. An algorithm of transferring means of correlative coefficient is put forwarded. A selecting method of configuration module based on correlative coefficient is proposed. An accessorial decision-making system of how to select configuration module is designed and realized.
In chapter 5, method of how to extract dimension relation from CAD model is studied and proposed. The constructing method of dimension relation network is proposed. A dimension parameter transferring method whether within a single component or between two different components is proposed. A modifying method of dimension parameters based on dimension parameter transferring method is proposed.
In chapter 6, relation between node's increasing speed and slope of degree distribution curve is studied. A compare method of modularization of product family based on slope of degree distribution curve of component relation network is presented. A module disassemble method of product is proposed. A quantificational evaluating method of modularization of product based on dimension relation network is proposed.
Chapter 7 reviews the achievements and innovations of this dissertation, and gives a prospect for future work.
第一章对论文的研究背景、相关研究领域的研究现状以及目前存在的问题等进行了阐述，给出了论文的主要研究内容以及论文的整体框架结构。
第二章对复杂网络理论进行了简要介绍，建立了机械产品网络理论与方法体系结构，对复杂网络的简单路径搜索算法进行了研究，提出了一种有向无环网络的简单路径搜索算法。
第三章提出了产品结构网络(零部件关系网络)构建方法，网络统计参数计算方法，并对统计参数进行了计算，给出了统计参数双对数坐标分布曲线。对各个统计参数之间的相关系数以及各个统计参数对零部件通用性的影响程度进行了分析，提出了一种产品族零部件通用性分析方法。对产品结构网络的特点进行了分析，结合网络的结点度分布规律，提出了产品结构网络的演化规律与演化动力学方程。对结点入度演化规律进行了理论分析，得到了结点入度概率密度解析表达式。对零部件增量与产品增量之间的关系进行了分析，提出了一种基于结点入度演化规律的零部件用量预测方法。
第四章提出了扩展的产品主结构网络构建方法，提出了配置模块关联系数计算方法以及关联系数的传递计算方法，提出了基于关联系数的配置模块选择方法，设计并实现了一配置模块选择辅助决策系统。
第五章对产品尺寸约束关系提取方法进行了研究，提出了一种尺寸约束关系提取方法，提出了产品尺寸约束关系网络构建方法。研究并提出了尺寸参数在产品的零部件内部以及零部件之间的传递方法，提出了一种基于尺寸参数传递方法的产品变型设计与产品尺寸参数修改方法。
第六章研究了产品结构网络的结点增长速度与结点度分布曲线斜率之间的关系，提出了一种基于结点度分布曲线斜率的产品模块化程度比较方法。提出了一种产品模块分解方法，提出了一种基于产品尺寸约束关系网络的产品模块化程度定量评价方法。
第七章对全文进行了总结，并对后续的研究工作进行了展望。
In this dissertation, applying complex network theory and its algorithms to mass customization of complicated mechanical product. Component analysis method and configuration technology of complicated mechanical product are studied comprehensively and deeply. Component analysis method and configuration module selection and modification method based on complex network theory are proposed. As an example, the methods are applied to industrial steam turbine and other products, the methods are verified.
In chapter 1, the research background of the dissertation, the current situation and existing problems of the research are expatiated. The main content and framework of the dissertation are given.
In chapter 2, complex network theory is discussed briefly, theoretical and methodological framework of mechanical product network is proposed. The detecting algorithm for simple path of complex network is studied and a universal algorithm for detecting all simple paths between any two nodes in a weighted directed acylic network is presented.
In chapter 3, the constructing method of product structure network and computing method of statistical parameters are proposed. The statistical parameters are calculated. Bi-logarithmic coordinate distribution curves of statistical parameter are obtained. Correlation between the parameter and parameter's affecting degree to universality of component are analyzed. A universal analysis method of component is proposed. The characteristics of the network are analyzed. Combining the degree distribution rule, the evolving rule and dynamic equation of component relation network are proposed. The in-degree evolving rule is analyzed. Analytic expression of in-degree probability density of nodes is derived. Relation between the component increment and product increment is analyzed. Based on the in-degree evolving rule, a forecast method of increment of component number is presented.
In chapter 4, the constructing method of extended product main structure network is proposed. An algorithm of correlative coefficient, between any two nodes of filiation or fraternal relation of extended product main structure, is presented. An algorithm of transferring means of correlative coefficient is put forwarded. A selecting method of configuration module based on correlative coefficient is proposed. An accessorial decision-making system of how to select configuration module is designed and realized.
In chapter 5, method of how to extract dimension relation from CAD model is studied and proposed. The constructing method of dimension relation network is proposed. A dimension parameter transferring method whether within a single component or between two different components is proposed. A modifying method of dimension parameters based on dimension parameter transferring method is proposed.
In chapter 6, relation between node's increasing speed and slope of degree distribution curve is studied. A compare method of modularization of product family based on slope of degree distribution curve of component relation network is presented. A module disassemble method of product is proposed. A quantificational evaluating method of modularization of product based on dimension relation network is proposed.
Chapter 7 reviews the achievements and innovations of this dissertation, and gives a prospect for future work.
引文
[1]Pine B J. Mass Customization, The New Frontier in Business Competition[M]. Harvard Business School Press, Boston, MA, 1993.
[2] Albert R, Barab(?)si A L. Statistical mechanics of complex networks[J]. Review of Modern Physics, 2002, 74 (1): 47-97.
[3] 车宏安，顾基发．无标度网络及其系统科学意义[J]．系统工程理论与实践，2004，21 (4)：11-16．
[4] 祁国宁，顾新建，谭建荣，等．大批量定制技术及其应用[M]．北京：机械工业出版社，2003．
[5] 祁国宁，顾新建，杨青海，等．大批量定制原理及关键技术研究[J]．计算机集成制造系统，2003，9 (9)：776-783．
[6] 祁国宁，杨青海．大批量定制生产模式综述[J]．中国机械工程，2004，15(14)：1240-1245．
[7] 顾新建，朱万贵，邱进冬．大批量定制：未来制造业的主流生产方式[J]．成组技术与生产现代化，2002，19(2)：1-5．
[8] 周晓东，邹国胜，谢洁飞，等．大规模定制研究综述[J]．计算机集成制造系统，2003，9(12)：1405-1056．
[9] 荣烈润．大批量定制—21世纪的主流生产模式[J]．机电一体化，2005，(1)：6-9．
[10] 谭建荣，张树有，纪杨建，等．集成环境下大批量定制的产品配置设计技术及其应用[J]．中国机械工程，2004，15 (19)：1706-1708．
[11] Chao Ping Yi, Chen Tsung Te. Analysis of Assembly through Product Configuration[J]. Computers in Industry, 2001, 44: 189-203.
[12] 李斌，陈立平，钟毅芳．基于多目标遗传算法的产品优化配置研究[J]．中国机械工程，2004，15 (20)：1819-1822．
[13] 王世伟，谭建荣，张树有，等．基于GBOM的产品配置研究[J]．计算机辅助设计与图形学学报，2004，16 (5)：655-659．
[14] Alexander F, Gerhard F, Diet mar J. Conceptual modeling for configuration of mass customizable products[J]. Artificial Intelligence in Engineering, 2001, 15(2): 165-176.
[15] 李伟，张孟青，刘光复．基于约束满足问题的产品配置方法[J]．农业机械学报， 2005, 36 (7): 126-130.
[16] Ying-lie O. Configuration for mass customization and e-business [A]. Proceedings of the 15th European Conference on Artificial Intelligence (ECAI 2002) [C]. Amsterdam, Holand: IOS Press, 2002, 11-16.
[17] Ulrich J. Solving large configuration problems efficiently by clustering the ConBaCon model[A]. Proceedings of the 13th International Conference on Industrial and Engineering Applications of Artificial Intelligent and Expert Systems(IEA/AIE 2000)[C]. Berlin, Germany: Springer, 2000, 296-405.
[18] Tiihonen J, Lehtonen T, Soninnen T, etal. Modelling Configurable Product Families[A]. 4th WDK workshop on Product Structuring[C]. Dekft, Holand:Delft University of Technology, 1998, 1-99
[19] 张劲松，王启富，万立，等．基于本体的产品配置建模研究[J]．计算机集成制造系统，2003，9 (5)：344-350．
[20] 刘晓冰，袁长峰，邢英杰，等．基于类和特征的产品配置建模[J]．计算机集成制造系统MS，2005，11(8)：1057-1063．
[21] 肖刚，王昌建，程振波，等．基于相关矩阵的产品配置模型和算法实现[J]．机械科学与技术，2004，23 (9)：1064-1067．
[22] 但斌，冯韬．基于GBOM的产品结构模型和配置方法[J]．管理学报，2005，2(4)：422-425．
[23] 赵方方，王云峰，熊立华，等．基于GBOM和CBR的产品配置方法研究[J]．河北工业大学学报，2003，32 (6)：60-64．
[24] Mittal S, Frayman F. Toward a generic model of configuration tasks[A]. In: Proceedings of the 11th International Joint Conference on Artificial Intelligence (IJCAI-89), Morgan Kaufmann, California, 1989, 1395-1401.
[25] Heinrich M, Ju ngst E W. A resource-based paradigm for the configuring of technical systems from modular components[A]. In: Proceedings of the 7th IEEE Conference on AI Applications(CAIA), Miami, Flordia, 1991, 257-264.
[26] Hedin G Ohlsson, L Mckenna J. Product configuration usingobject-oriented grammars[A]. In: Proceedings of the 8th International Symposium on System Configuration Management, Brussels, 1998, 107-126.
[27] Branchman RJ, Schmolze J G. An overview of the KL-ONE knowledge representation system [J]. Cognitive Science, 1985, 9(2): 171-216.
[28] Mcguinness D L, Wright J R. Conceptual modeling for configuration: A description logic-based approach[J]. AI/EDAM, 1998, 12(4): 333-344.
[29] 吴健，陈刚，尹建伟，等．基于本体的产品配置知识共享[J]．浙江大学学报(工学版)，2004，38(4)：478-483．
[30] 吴健，陈珂，董金祥．基于语义网的产品配置知识表达及检索[J]．计算机辅助设计与图形学学报，2005，17 (1)：129-136．
[31] Simpson T W, Mair J R T. Product platform design: method and application[J]. Research In Engineering Design, 2001, 13(1): 2-22.
[32] Stempterner M, Friedrich G E, Haselbock A. Generative constraint-based configuration of large technical system[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 1998, 12(4): 307-320.
[33] 杨煜俊，刘清华，万立，等．基于条件约束满足问题的产品配置研究[J]．计算机集成制造系统，2004，10(4)：1332-1337．
[34] 王新，谭建荣，孙卫红．基于实例的需求产品配置技术研究[J]，中国机械工程，2006，17(1)：146-151．
[35] 谢建文．产品族模型快速构建与智能配置关键技术研究[D]．广州：广东工业大学，2003．
[36] Ketler K. Case-based Reasoning: an Introduction[J]. Expert Systems with Applications, 1993, (6): 3-8.
[37] Tseng M M, Jiao J X. Case-based Evolutionary Design for Mass Customization[J]. Computer Ind. Eng., 1997, 33(1): 319-323.
[38] Wang Shiwei, Tan Jianrong, Zhang Shuyou, etal. Case-based Product Configuration and Reuse in Mass Customization. Chinese Journal of Mechanical Engineering, 2004,17(2): 233-236.
[39] Siddique Z, Rosen D W. On combinatorial design spaces for the configuration design of product families[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2001, 15(2): 91-108.
[40] 齐德昱，朱学峰，毛宗源，等．基于KDD的产品设计智能化支持系统[J]．计算机应用研究，1999，19(11)：35-36．
[41] 蒋雯，孙友松．基于空间修剪法的配置设计[J]．南京航空航天大学学报，2005，37(s1)：163-167．
[42] 张荣，张树有．面向大批量定制的产品配置优化技术研究[J]．机械，2005，32(4)：58-61．
[43] Mnnist T, Pelton H, Alho K, etal. A frame work for long term information management of product configurations[R]. Helsinki: Helsinki University of Technology, 1993.
[44] Tiihonen J, Soininen T, Mnnist T, etal. State of the Practice in Product Configuration a Survey of 10 Cases in the Finnish Industry [M]. Toronto: Knowledge Intensive CAD-1, Chapman & Hall, 1996. 95-114.
[45] Mnnist T, Soininen T. Frame work and conceptual model for reconfiguration[A]. AAAI'99 Workshop on Configuration AAAI Press Technical Report WS99 05, Orlando, Florida, 1999, 59-64.
[46] Kreuz I, Roller D. Knowledge growing old in reconfiguration context[A]. AAAI'99 Workshop on Configuration. AAAI Press Technical Report WS 99-05, Orlando, Florida, 1999, 54-59.
[47] Kreuz I. Considering the dynamic in knowledge based configuration[A]. ECAI 2000 European Conference on Artificial Intelligence, 14th Workshop "New Results in Planning, Scheduling and Design", (PuK2000), Berlin, 2000, 83-89.
[48] Fleischhanderl G, Friedrich G E, Haselboeck A, etal. Configuring large systems using generative constraint satisfaction[J]. IEEE Intelligent Systems, 1998, 13(4): 59-68.
[49] Williams B C, Nayak P P. A modal-based approach to reactive self- configuring systems[J]. In: Proceedings of the 13th National Conference on Artificial Intelligence (AAAI-96), Portland, Orengon, 1996, 971-978.
[50] 陈珂，尹建伟，陈刚，等．面向网络化制造的产品再配置模型[J]，计算机辅助设计与图形学学报，2005，17 (7)：1606-1613．
[51] 王世伟，谭建荣，张树有，等．产品配置模型的演化与再配置[J]，计算机辅助设计与图形学学报，2005，17(2)：347-352．
[52] 赵亮，冯培恩，潘双夏．面向产品设计的成本工程系统方法与技术研究[J]．计算机辅助设计与图形学学报，2001，13(3)：1-5．
[53] Ouyang C, Lin T S. Developing an Integrated Framework for Feature-based Manufacturing Cost Estimation [J]. Int. J. Adv. Manuf. Technol., 1997, 13(9): 618-629.
[54] Sheab E M, Abdalla H S. Manufacturing Cost Modeling for Concurrent Product Development[J]. Robtics and Computer Integrated Manufacturing, 2001, 17(4): 341-353.
[55] Feng C X, KusiakA, Huang C C. Cost Evaluation in Design with Form Features[J]. Compute Aided Design, 1996, 28(11): 879-885.
[56] KiritsisD, Neuendorf P, Xirouchakis KP. Petri Net Techniques for Planning Cost Estimation[J]. Advances in Engineering Software, 1999, 30(6): 375-387.
[57] 王刊良，苏秦．利用作业成本法进行供应商的选择与评价[J]．计算机集成制造系统，2001，7(7)：53-57．
[58] 陈晓川，刘晓冰，冯辛安．面向成本的设计中的成本构成及其估算框架的研究[J]．中国机械工程，2001，12(5)：510-514．
[59] 何陈棋，谭建荣，王世伟．基于模糊理论的产品成本估算模型的研究[J]．中国机械工程，2003，14(9)：1502-1507．
[60] 石为人，康静，彭世强．面向物流和资金流的产品配置策略[J]．重庆大学学报，2003，26 (8)：32-34．
[61] 谭建荣，王世伟，张树有．面向大批量定制的产品成本估算方法研究[J]．中国机械工程，2004，14(7)：576-580．
[62] Meryer H, Alvin P. The Power of Product Platforms: Building Value and Cost Leadership[M]. New York: The Free Press, 1997.
[63] Anderson D. Agile Product Development for Mass Customization How to Develop and Deliver Products for Mass Customization, Niche Markets JIT, Build to order and Flexible Manufacturing[M]. Boston: Harvard Business School Press, 1997.
[64] 刘达斌，任亨斌．基于变型设计理论的产品模块化设计[J]．重庆大学学报(自然科学版)，2005，28 (7)：9-11．
[65] 余军合，祁国宁．事物特性表支持的变型设计方法[J]．农业机械学报，2005，36(4)：107-111．
[66] 鲁玉军，余军合，祁国宁，等．基于事物特性表的产品变型设计[J]．计算机集成制造系统，2003，9 (10)：840-845．
[67] 吴伟伟，唐任仲，候亮，等．基于参数化的机械产品尺寸变型设计研究与实现[J]．中国机械工程，2005，16(3)：218-222．
[68] 狄长春，杜中华，秦俊奇，等．基于参数化装配的产品变型设计研究[J]．机械与电子，2001(4)：49-50．
[69] 顾巧祥，苏少辉，余军合，等．基于事物特性表的产品变型设计研究[J]．中国机械工程，2004，15(19)：1713-1716．
[70] 张世英，李克民，袁学民．经济计量学教程[M]．天津：天津大学出版社，2002．
[71] 阮萍，雷镇，王华．基于灰色系统和人工神经网络的中长期电力负荷预测[J]．计算 机应用，2004，24：285-286．
[72] 杨期余，汪卫华，蓝信军．长期电力负荷预测的模糊数学方法[J]．湖南大学学报(自然科学版)，2002，29(6)：67-70．
[73] 王瑛．产品需求预测的演化神经网络算法M L P E S[J]．运筹与管理．2005，14(3)：5-10．
[74] 潘旭红，汪小明． 中长期电量的系统动力学方法预测[J]．广东电力，2002，15(4)：5-8．
[75] 郝雪梅，陈景鹏．组合式神经网络企业产品销售量预测方法[J]．重庆工商大学学报(自然科学版)，2005，22(4)：378-391．
[76] 赵闯，刘凯，李电生．支持向量机在货运量预测中的应用研究[J]．铁道学报，2004，26(4)：10-14．
[77] 贾廷林．模块化设计[M]．北京：机械工业出版社，1993．
[78] 宋守许，刘志峰，唐涛，等．模块化产品评价方法研究[J]．农业机械学报，2004，35(5)：181-185．
[79] 郑金连，狄增如．复杂网络研究与复杂现象[J]．系统辨证学学报，2005，13 (4)：8-13．
[80] 史定华．网络—探索复杂性的新途径[J]．系统工程学报，2005，20 (2)：115-120．
[81] 周涛，柏文洁，汪秉宏，等．复杂网络研究概述[J]．物理，2005，34 (1)：31-36．
[82] Mark E J Newman. The structure and function of complex networks[J]. SIAM Review, 2003, 45(2): 167-256.
[83] Réka Albert and Albert-László Barabási. Topology of Evolving Networks: Local Events and Universa]ity[J]. Physical Review Letters, 2000, 8, 5(24): 5234- 5237.
[84] Mark E JNewman. Models of the small world: A review[J]. J. Star. Phys., 2000, 101 (3-4): 819-841.
[85] L A N Amaral, A Scala, M Barthelemy, and H E Stanley. Classes of small-world networks[J]. Proc. Nat. Ac. Sci. USA 97, 2000, 11149-11152.
[86] Z Liu, Y C Lai, et al. Connectivity distribution and attack tolerance of general networks with both preferential and random attachments[J]. Physics Letters A, 2002, 303(A): 337-344.
[87] X Li and G Chen. A local-world evolving network model[J]. Physica A, 2003, 328(A): 274-286.
[88] Shi D H, Chert Q H, Liu L M. A Markov chain- based numerical method for degree distributions of growing networks[J]. Physical Rev. E., 2005, 71: 036140.
[89] Chen Qinghua, Shi Dinghua. The modeling of scale-free networks[J]. Physica A, 2004, 335: 240-248.
[90] Shi D H, Zhu X, Liu L M. A simple model of growing scale-free networks driven by both randomness and adaptability[EB/OD]. Los Alamos Archive cond-mat/0409061, 2004.
[91] Wen-Xu Wang, Bing-Hong Wang, Bo Hu, et al. General Dynamics of Topology and Traffic on Weighted Technological Networks. Physical Review Letters, 2005, 94 (18/188702): 1-4.
[92] 何阅，张培培，许田，等．一个科研合作网的双粒子图自适应演化模型[J]．物理学报，2004，53 (6)：1710-1715．
[93] 章忠志，荣莉莉，周涛．一类无标度合作网络的演化模型[J]．系统工程理论与实践，2005，11：55-60．
[94] 刘涛，陈忠，陈晓荣．复杂网络理论及其应用研究概述[J]．系统工程，2005，23(5)：1-7．
[95] 张培培，侯威，何阅，等．淮扬菜系的网络描述[J]．复杂系统与复杂性科学，2005，2 (2)：49-53．
[96] 赵金山，狄增如，王大辉．北京市公共汽车交通网络几何性质的实证研究叮]．复杂系统与复杂性科学，2005，2(2)：45-48．
[97] 陈洁，许田，何大韧．中国电力网的复杂网络共性[J]．科技导报，2004，4：11-14．
[98] 何阅，张培培，唐继英，等．中药方剂的合作网络描述[J]．科技导报，2005，23(11)：36-37．
[99] Tyler J, Wilkinson D, Huberman B. Email as spectroscopy: automated discovery of community structure within organizations [A]. International Conference on Communities and Technologies [C], 2003, 81-96.
[100] Radicchi F, Castellano C, Cecconi F, etal. Defining and identifying communities in networks [J]. Proc. Natl. Acad. Sci., 2004, 101(9): 2658-2663.
[101] Fortunato S, Latora V, Marchiori M. A method to find community structures based on information centrality[J]. Phys. Rev. E, 2004, 70(5): 056104.
[102] Latora V, Marchiori M. Efficient behavior of small world networks[J]. Phys. Rev. Lett., 2002, 87(19): 198701.
[103] Ouch J, Arenas A. Community detection in complex networks using extreme optimization [Z]. Arxiv: cond-mat/0501368, 2005.
[104] Newman M E J. Fast algorithm for detecting community structure in networks[J]. Phys. Rev. E, 2004, 69(6): 066133
[105] Clauset A, Newman M E J, Moore C. Finding community structure in very large networks [J]. Phys. Rev. E, 2004, 70(6): 066111
[106] Oonetti L, Mu(?) oz M A. Detecting network communities: a new systematic and efficient algorithm[J]. J. Star. Mech, 2004,10: P10012.
[107] Bagrow J P, Bollt E M. A local method for detecting communities[J]. Phys. Rev. E, 2005, 72(4): 046108.
[108] Clauset A. Finding local community structure in networks [J]. Phys. Rev. E, 2005, 72(2): 026132.
[109] 解诌，汪小帆．复杂网络中的社团结构分析算法研究综述[J]．复杂系统与复杂性科学，2005，2(3)：1-11．
[110] 王林，戴冠中．复杂网络的社区发现—理论与应用[J]．科技导报，2005，23 (8)：62-66．
[111] 张鹏，李梦辉，吴金闪．科学家合作网络的聚类分析[J]．复杂系统与复杂性科学，2005，2 (2)：30-34．
[112] 许丹，李翔，汪小帆．复杂网络理论在互联网病毒传播研究中的应用[J]．复杂系统与复杂性科学，2004，1 (3)：10-26．
[113] 王曼，郑应平．基于复杂网络的疾病传播[J]．科技导报，2005，23 (5)：21-24．
[114] 孙胜秋．用复杂网络理论研究疾病的传播[J]．重庆师范大学学报(自然科学版)，2005，22 (4)：1-5．
[115] 方锦清，汪小帆，刘曾荣．略论复杂性问题和非线性复杂网络系统的研究[J]．科技导报，2004，2：9-13．
[116] Strogatz S H. Exploring complex networks[J]. Nature, 2001, 410: 268-276.
[117] Albert R, Jeong H, Barab AL. Error and attack tolerance of complex networks[J]. Nature, 2000, 406: 378-382.
[118] Barabasi A L, Albert R. Emergence of scaling in random networks[J]. Science, 1999, 286(5439): 509-512.
[119] Newman M E J. Models of the small world: a review[J]. Journal of Statistical Physics, 2000, 101: 819-841.
[120] Newman M E J, Moore C, Watts D J. Mean-field solution of the small-world network model[J]. Physical Review Letters, 2000, 84(14): 3201-3204.
[121] Newman M E J, Watts D J. Scaling and percolation in the small-world network model[J]. Physical Review E, 1999, 60: 7332-7342.
[122] Watts D J and Strogatz S H. Collective dynamics of small-world networks[J]. Nature, 1998, 393(6684): 440-442.
[123] Wang Xiao fan, Chen Guan rong. Synchronization in scale-free d namical networks: robustness and fragility[J]. IEEE Transactions on Circuits and Systems, PartⅠ: Regular Paper, 2002, 49(1): 54-62.
[124] Chua L O. C N N: A Paradigm for Complexity[M]. Singapore: World Scientific, 1998.
[125] Kaneko K Ed. Coupled Map Lattices [M]. Singapore: World Scientific, 1992.
[126] Li Xiang, Chen Guan tong. A local-world evolving network model[J]. Physica A, 2002, 328: 274-286.
[127] LU Jinhu. General complex dynamical network models and its synchronization criterions[A]．第22届中国控制会议论文集[C]，湖北宜昌，2003，380-384．
[128] LU Jinhu, Chen Guanrong A time-varying complex dynamical network model and its controlled synchronization criteria[J]. IEEE Transactions on Automatic Control, 2004, in Press.
[129] LU Jinhu, Yu Xinghuo, Chen Guanrong. Chaos synchronization of general complex dynamical networks[J]. Physica A, 2004, 334: 281-302.
[130] LU Jinhu, Yu Xinghuo, then Guanrong, Cheng Daizhan. Characterizing the synchronizability of small-world dynamical networks[J]. IEEE Transactions on Circuits and Systems, PartⅠ: Regular Paper, 2004, 51: in press.
[131] LU Jinhu, Leung Henry, Chen Guanrong. Complex dynamical networks: modelling, synchronization and control[J]. Dynamics of Continuous, Discrete and Impulsive Systems, 2004, in press.
[132] 陈关荣，吕金虎．Lorenz系统族的动力学分析、控制与同步[M]．北京：科学出版 社，2003．
[133] 吕金虎。复杂动力网络的数学模型与同步准则[J]．系统工程理论与实践，2004，24(4)：17-23．
[134] A Barrat, and M Weigt. On the properties of small-world network models[J]. The European Physical Journal, 2000, 13: 547-560.
[135] Newman, M E J., 2001e, unpublished.
[136] Erd(?)s P and A Rényi, On the evolution of random graphs[J]. Publ. Math. Inst. Hung. Acad. Sci., vol. 5, pp. 17-60, 1959.
[137] Newman, M E J. The structure of scientific collaboration networks. Proc. Natl. Acad. Sci. USA 98, 2001: 404-409.
[138] Newman, M E J. Scientific collaboration networks. Ⅱ. Shortest paths, weighted networks, and centrality[J]. Phys. Rev. E, 2001, 64: 016132.
[139] Chung, F, and L Lu. The Diameter of Sparse Random Graphs[J]. Advances in Applied Mathematics. 2001, 26(4): 257-279.
[140] Bollobás, B. Degree sequences of random graphs[J]. Discrete Math.,1981, 33: 1-19.
[141] Barabási, A L, R. Albert, and H Jeong. Mean-field theory for scalc-free random networks[J]. Physica A, 1999, 272: 173-187.
[142] Dorogovtsev, S N, J F F Mendes, and A N Samukhin. Structure of Growing Networks with Preferential Linking[J]. Physical Review Letters, 2000, 85 (21): 4633-4636.
[143] P L Krapivsky, S Redner, and F eyvraz. Connectivity of Growing Random Networks[J]. Physical Review Letters, 2000, 85: 4629-4632.
[144] Amaral, L A N, A Scala, M Barthélémy, and H E Stanley. Classes of small-world networks. Proc. Natl. Acad. Sci. U. S. A. 97, 2000, 21: 11149-11152.
[145] H Jeong, Z Néda and A L Barabási. Measuring preferential attachment for evolving network[J], 2001, preprint cond-mat/0104131.
[146] Newman M E J. Scientific collaboration networks. I. Network construction and fundamental results[J]. Phys. Rev. E., 2001, 64(e016131): 1-8
[147] Dorogovtsev, S N, J F F Mendes, and A N Samukhin. Scaling properties of scale-free evolving networks: Continuous approach[J]. Phys. Rev. E., 2001, 63(e056125): 1-19.
[148] Dorogovtsev, S N, J F F Mendes, and A N Samukhin. WWW and Internet models from 1955 till our days and the "popularity is attractive" principle[J], ariXiv: preprint cond-mat, 2000, 1(0009090): 1-4.
[149] Bianconi, G, and A L Barabási. Competition and multiscaling in evolving networks[J]. Euro Phys. Lett., 2001, 54(4): 436-442.
[150] 黄国瑜，叶乃菁．数据结构(C语言版)(第二版)[M]．北京：清华大学出版社，2003．
[151] 林琪．C++图算法[M]．北京：机械工业出版社，2003．
[152] 李志纯，黄海军．随机交通分配中有效路径的确定方法[J]，交通运输系统工程与信息，2003，(1)：28-32．
[153] http://student,zjzk.cn/course_ware/data_structure/web/jingcaiwen_zhang/wenzhang11.htm
[154] S N Dorogovtsev, and J F F Mendes. Evolution of networks with aging of sites[J]. Phys. Rev. E, 2000, 62: 1842-1845.
[155] Gardner E S, Mc Kenzi E. Forecasting trends in time series[J]. Management Science, 1985, 31(10): 1237-1246.
[156] 唐小我．预测理论及其应用[M]．武汉：电子科技大学出版社，1992．
[157] 齐小华，高福安．预测理论与方法[M]．北京：北京广播学院出版社，1994．
[158] 邓聚龙．灰理论基础[M]．武汉：华中科技大学出版社，2002．
[159] 李峰，刘静延，蒋录全．预测方法的发展及最新动态．情报杂志．2005，(6)：76-77．
[160] 杨杰，张斌，华中生．间断需求预测方法综述．预测．2005，24(5)：70-75．
[161] Brown D C. Defining configuring[J]. Artificial Intelligent for Engineering Design, Analysis and Manufacturing, 1998, 12(4): 301-306.
[162] 王峰，俞新陆．产品级三维参数化设计系统的研究与开发[J]．计算机辅助设计与图形学学报，2001，13(11)：1012-1018．
[163] 余军合，祁国宁．事物特性表支持的变型设计方法[J]．农业机械学报，2005，36(4)：107-111．
[164] 余军合．面向对象的事物特性表实现方法研究[J]．中国机械工程，2005，36(10)：878-881．
[165] 张继春．Pro／ENGINEER二次开发实用教程[M]．北京：北京大学出版社，2003．
[166] 李世国．Pro／TOOLKIT程序设计[M]．北京：机械工业出版社，2003．
[167] 周明建，高济．知识管理系统中的用户视图[J]．计算辅助设计与图形学学报，2005，17(5)：1101-1106．
[168] 钱亚东．支持协同设计的知识管理系统研究与开发[D]：博士论文．杭州：浙江大学，2006．
[169] 刘夫云，祁国宁，车宏安．复杂网络中简单路径搜索算法及其应用研究[J]．系统工程理论与实践，2006，26(4)：9-13．
[170] 刘夫云，杨青海，祁国宁．基于复杂网络的产品族零部件通用性分析方法[J]．机械工程学报，2005，41(11)：75-79．
[171] 刘夫云，祁国宁，杨青海．基于复杂网络的零部件用量预测方法[J]．机械工程学报，2006，42(6)：1-6．
[172] 潘双夏，高飞，冯培恩．批量客户化生产模式下的模块划分方法研究[J]．机械工程学报，2003，39(7)：1-6．
[173] 滕晓艳，张家泰．产品模块化设计方法的研究[J]．应用科技，2006，33(2)：62-64．
[174] 吕利勇，乔立红，王田苗．面向产品生命周期的产品模块化分解方法研究[J]．计算机集成制造系统，2006，12(4)：546-550．
[2] Albert R, Barab(?)si A L. Statistical mechanics of complex networks[J]. Review of Modern Physics, 2002, 74 (1): 47-97.
[3] 车宏安，顾基发．无标度网络及其系统科学意义[J]．系统工程理论与实践，2004，21 (4)：11-16．
[4] 祁国宁，顾新建，谭建荣，等．大批量定制技术及其应用[M]．北京：机械工业出版社，2003．
[5] 祁国宁，顾新建，杨青海，等．大批量定制原理及关键技术研究[J]．计算机集成制造系统，2003，9 (9)：776-783．
[6] 祁国宁，杨青海．大批量定制生产模式综述[J]．中国机械工程，2004，15(14)：1240-1245．
[7] 顾新建，朱万贵，邱进冬．大批量定制：未来制造业的主流生产方式[J]．成组技术与生产现代化，2002，19(2)：1-5．
[8] 周晓东，邹国胜，谢洁飞，等．大规模定制研究综述[J]．计算机集成制造系统，2003，9(12)：1405-1056．
[9] 荣烈润．大批量定制—21世纪的主流生产模式[J]．机电一体化，2005，(1)：6-9．
[10] 谭建荣，张树有，纪杨建，等．集成环境下大批量定制的产品配置设计技术及其应用[J]．中国机械工程，2004，15 (19)：1706-1708．
[11] Chao Ping Yi, Chen Tsung Te. Analysis of Assembly through Product Configuration[J]. Computers in Industry, 2001, 44: 189-203.
[12] 李斌，陈立平，钟毅芳．基于多目标遗传算法的产品优化配置研究[J]．中国机械工程，2004，15 (20)：1819-1822．
[13] 王世伟，谭建荣，张树有，等．基于GBOM的产品配置研究[J]．计算机辅助设计与图形学学报，2004，16 (5)：655-659．
[14] Alexander F, Gerhard F, Diet mar J. Conceptual modeling for configuration of mass customizable products[J]. Artificial Intelligence in Engineering, 2001, 15(2): 165-176.
[15] 李伟，张孟青，刘光复．基于约束满足问题的产品配置方法[J]．农业机械学报， 2005, 36 (7): 126-130.
[16] Ying-lie O. Configuration for mass customization and e-business [A]. Proceedings of the 15th European Conference on Artificial Intelligence (ECAI 2002) [C]. Amsterdam, Holand: IOS Press, 2002, 11-16.
[17] Ulrich J. Solving large configuration problems efficiently by clustering the ConBaCon model[A]. Proceedings of the 13th International Conference on Industrial and Engineering Applications of Artificial Intelligent and Expert Systems(IEA/AIE 2000)[C]. Berlin, Germany: Springer, 2000, 296-405.
[18] Tiihonen J, Lehtonen T, Soninnen T, etal. Modelling Configurable Product Families[A]. 4th WDK workshop on Product Structuring[C]. Dekft, Holand:Delft University of Technology, 1998, 1-99
[19] 张劲松，王启富，万立，等．基于本体的产品配置建模研究[J]．计算机集成制造系统，2003，9 (5)：344-350．
[20] 刘晓冰，袁长峰，邢英杰，等．基于类和特征的产品配置建模[J]．计算机集成制造系统MS，2005，11(8)：1057-1063．
[21] 肖刚，王昌建，程振波，等．基于相关矩阵的产品配置模型和算法实现[J]．机械科学与技术，2004，23 (9)：1064-1067．
[22] 但斌，冯韬．基于GBOM的产品结构模型和配置方法[J]．管理学报，2005，2(4)：422-425．
[23] 赵方方，王云峰，熊立华，等．基于GBOM和CBR的产品配置方法研究[J]．河北工业大学学报，2003，32 (6)：60-64．
[24] Mittal S, Frayman F. Toward a generic model of configuration tasks[A]. In: Proceedings of the 11th International Joint Conference on Artificial Intelligence (IJCAI-89), Morgan Kaufmann, California, 1989, 1395-1401.
[25] Heinrich M, Ju ngst E W. A resource-based paradigm for the configuring of technical systems from modular components[A]. In: Proceedings of the 7th IEEE Conference on AI Applications(CAIA), Miami, Flordia, 1991, 257-264.
[26] Hedin G Ohlsson, L Mckenna J. Product configuration usingobject-oriented grammars[A]. In: Proceedings of the 8th International Symposium on System Configuration Management, Brussels, 1998, 107-126.
[27] Branchman RJ, Schmolze J G. An overview of the KL-ONE knowledge representation system [J]. Cognitive Science, 1985, 9(2): 171-216.
[28] Mcguinness D L, Wright J R. Conceptual modeling for configuration: A description logic-based approach[J]. AI/EDAM, 1998, 12(4): 333-344.
[29] 吴健，陈刚，尹建伟，等．基于本体的产品配置知识共享[J]．浙江大学学报(工学版)，2004，38(4)：478-483．
[30] 吴健，陈珂，董金祥．基于语义网的产品配置知识表达及检索[J]．计算机辅助设计与图形学学报，2005，17 (1)：129-136．
[31] Simpson T W, Mair J R T. Product platform design: method and application[J]. Research In Engineering Design, 2001, 13(1): 2-22.
[32] Stempterner M, Friedrich G E, Haselbock A. Generative constraint-based configuration of large technical system[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 1998, 12(4): 307-320.
[33] 杨煜俊，刘清华，万立，等．基于条件约束满足问题的产品配置研究[J]．计算机集成制造系统，2004，10(4)：1332-1337．
[34] 王新，谭建荣，孙卫红．基于实例的需求产品配置技术研究[J]，中国机械工程，2006，17(1)：146-151．
[35] 谢建文．产品族模型快速构建与智能配置关键技术研究[D]．广州：广东工业大学，2003．
[36] Ketler K. Case-based Reasoning: an Introduction[J]. Expert Systems with Applications, 1993, (6): 3-8.
[37] Tseng M M, Jiao J X. Case-based Evolutionary Design for Mass Customization[J]. Computer Ind. Eng., 1997, 33(1): 319-323.
[38] Wang Shiwei, Tan Jianrong, Zhang Shuyou, etal. Case-based Product Configuration and Reuse in Mass Customization. Chinese Journal of Mechanical Engineering, 2004,17(2): 233-236.
[39] Siddique Z, Rosen D W. On combinatorial design spaces for the configuration design of product families[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2001, 15(2): 91-108.
[40] 齐德昱，朱学峰，毛宗源，等．基于KDD的产品设计智能化支持系统[J]．计算机应用研究，1999，19(11)：35-36．
[41] 蒋雯，孙友松．基于空间修剪法的配置设计[J]．南京航空航天大学学报，2005，37(s1)：163-167．
[42] 张荣，张树有．面向大批量定制的产品配置优化技术研究[J]．机械，2005，32(4)：58-61．
[43] Mnnist T, Pelton H, Alho K, etal. A frame work for long term information management of product configurations[R]. Helsinki: Helsinki University of Technology, 1993.
[44] Tiihonen J, Soininen T, Mnnist T, etal. State of the Practice in Product Configuration a Survey of 10 Cases in the Finnish Industry [M]. Toronto: Knowledge Intensive CAD-1, Chapman & Hall, 1996. 95-114.
[45] Mnnist T, Soininen T. Frame work and conceptual model for reconfiguration[A]. AAAI'99 Workshop on Configuration AAAI Press Technical Report WS99 05, Orlando, Florida, 1999, 59-64.
[46] Kreuz I, Roller D. Knowledge growing old in reconfiguration context[A]. AAAI'99 Workshop on Configuration. AAAI Press Technical Report WS 99-05, Orlando, Florida, 1999, 54-59.
[47] Kreuz I. Considering the dynamic in knowledge based configuration[A]. ECAI 2000 European Conference on Artificial Intelligence, 14th Workshop "New Results in Planning, Scheduling and Design", (PuK2000), Berlin, 2000, 83-89.
[48] Fleischhanderl G, Friedrich G E, Haselboeck A, etal. Configuring large systems using generative constraint satisfaction[J]. IEEE Intelligent Systems, 1998, 13(4): 59-68.
[49] Williams B C, Nayak P P. A modal-based approach to reactive self- configuring systems[J]. In: Proceedings of the 13th National Conference on Artificial Intelligence (AAAI-96), Portland, Orengon, 1996, 971-978.
[50] 陈珂，尹建伟，陈刚，等．面向网络化制造的产品再配置模型[J]，计算机辅助设计与图形学学报，2005，17 (7)：1606-1613．
[51] 王世伟，谭建荣，张树有，等．产品配置模型的演化与再配置[J]，计算机辅助设计与图形学学报，2005，17(2)：347-352．
[52] 赵亮，冯培恩，潘双夏．面向产品设计的成本工程系统方法与技术研究[J]．计算机辅助设计与图形学学报，2001，13(3)：1-5．
[53] Ouyang C, Lin T S. Developing an Integrated Framework for Feature-based Manufacturing Cost Estimation [J]. Int. J. Adv. Manuf. Technol., 1997, 13(9): 618-629.
[54] Sheab E M, Abdalla H S. Manufacturing Cost Modeling for Concurrent Product Development[J]. Robtics and Computer Integrated Manufacturing, 2001, 17(4): 341-353.
[55] Feng C X, KusiakA, Huang C C. Cost Evaluation in Design with Form Features[J]. Compute Aided Design, 1996, 28(11): 879-885.
[56] KiritsisD, Neuendorf P, Xirouchakis KP. Petri Net Techniques for Planning Cost Estimation[J]. Advances in Engineering Software, 1999, 30(6): 375-387.
[57] 王刊良，苏秦．利用作业成本法进行供应商的选择与评价[J]．计算机集成制造系统，2001，7(7)：53-57．
[58] 陈晓川，刘晓冰，冯辛安．面向成本的设计中的成本构成及其估算框架的研究[J]．中国机械工程，2001，12(5)：510-514．
[59] 何陈棋，谭建荣，王世伟．基于模糊理论的产品成本估算模型的研究[J]．中国机械工程，2003，14(9)：1502-1507．
[60] 石为人，康静，彭世强．面向物流和资金流的产品配置策略[J]．重庆大学学报，2003，26 (8)：32-34．
[61] 谭建荣，王世伟，张树有．面向大批量定制的产品成本估算方法研究[J]．中国机械工程，2004，14(7)：576-580．
[62] Meryer H, Alvin P. The Power of Product Platforms: Building Value and Cost Leadership[M]. New York: The Free Press, 1997.
[63] Anderson D. Agile Product Development for Mass Customization How to Develop and Deliver Products for Mass Customization, Niche Markets JIT, Build to order and Flexible Manufacturing[M]. Boston: Harvard Business School Press, 1997.
[64] 刘达斌，任亨斌．基于变型设计理论的产品模块化设计[J]．重庆大学学报(自然科学版)，2005，28 (7)：9-11．
[65] 余军合，祁国宁．事物特性表支持的变型设计方法[J]．农业机械学报，2005，36(4)：107-111．
[66] 鲁玉军，余军合，祁国宁，等．基于事物特性表的产品变型设计[J]．计算机集成制造系统，2003，9 (10)：840-845．
[67] 吴伟伟，唐任仲，候亮，等．基于参数化的机械产品尺寸变型设计研究与实现[J]．中国机械工程，2005，16(3)：218-222．
[68] 狄长春，杜中华，秦俊奇，等．基于参数化装配的产品变型设计研究[J]．机械与电子，2001(4)：49-50．
[69] 顾巧祥，苏少辉，余军合，等．基于事物特性表的产品变型设计研究[J]．中国机械工程，2004，15(19)：1713-1716．
[70] 张世英，李克民，袁学民．经济计量学教程[M]．天津：天津大学出版社，2002．
[71] 阮萍，雷镇，王华．基于灰色系统和人工神经网络的中长期电力负荷预测[J]．计算 机应用，2004，24：285-286．
[72] 杨期余，汪卫华，蓝信军．长期电力负荷预测的模糊数学方法[J]．湖南大学学报(自然科学版)，2002，29(6)：67-70．
[73] 王瑛．产品需求预测的演化神经网络算法M L P E S[J]．运筹与管理．2005，14(3)：5-10．
[74] 潘旭红，汪小明． 中长期电量的系统动力学方法预测[J]．广东电力，2002，15(4)：5-8．
[75] 郝雪梅，陈景鹏．组合式神经网络企业产品销售量预测方法[J]．重庆工商大学学报(自然科学版)，2005，22(4)：378-391．
[76] 赵闯，刘凯，李电生．支持向量机在货运量预测中的应用研究[J]．铁道学报，2004，26(4)：10-14．
[77] 贾廷林．模块化设计[M]．北京：机械工业出版社，1993．
[78] 宋守许，刘志峰，唐涛，等．模块化产品评价方法研究[J]．农业机械学报，2004，35(5)：181-185．
[79] 郑金连，狄增如．复杂网络研究与复杂现象[J]．系统辨证学学报，2005，13 (4)：8-13．
[80] 史定华．网络—探索复杂性的新途径[J]．系统工程学报，2005，20 (2)：115-120．
[81] 周涛，柏文洁，汪秉宏，等．复杂网络研究概述[J]．物理，2005，34 (1)：31-36．
[82] Mark E J Newman. The structure and function of complex networks[J]. SIAM Review, 2003, 45(2): 167-256.
[83] Réka Albert and Albert-László Barabási. Topology of Evolving Networks: Local Events and Universa]ity[J]. Physical Review Letters, 2000, 8, 5(24): 5234- 5237.
[84] Mark E JNewman. Models of the small world: A review[J]. J. Star. Phys., 2000, 101 (3-4): 819-841.
[85] L A N Amaral, A Scala, M Barthelemy, and H E Stanley. Classes of small-world networks[J]. Proc. Nat. Ac. Sci. USA 97, 2000, 11149-11152.
[86] Z Liu, Y C Lai, et al. Connectivity distribution and attack tolerance of general networks with both preferential and random attachments[J]. Physics Letters A, 2002, 303(A): 337-344.
[87] X Li and G Chen. A local-world evolving network model[J]. Physica A, 2003, 328(A): 274-286.
[88] Shi D H, Chert Q H, Liu L M. A Markov chain- based numerical method for degree distributions of growing networks[J]. Physical Rev. E., 2005, 71: 036140.
[89] Chen Qinghua, Shi Dinghua. The modeling of scale-free networks[J]. Physica A, 2004, 335: 240-248.
[90] Shi D H, Zhu X, Liu L M. A simple model of growing scale-free networks driven by both randomness and adaptability[EB/OD]. Los Alamos Archive cond-mat/0409061, 2004.
[91] Wen-Xu Wang, Bing-Hong Wang, Bo Hu, et al. General Dynamics of Topology and Traffic on Weighted Technological Networks. Physical Review Letters, 2005, 94 (18/188702): 1-4.
[92] 何阅，张培培，许田，等．一个科研合作网的双粒子图自适应演化模型[J]．物理学报，2004，53 (6)：1710-1715．
[93] 章忠志，荣莉莉，周涛．一类无标度合作网络的演化模型[J]．系统工程理论与实践，2005，11：55-60．
[94] 刘涛，陈忠，陈晓荣．复杂网络理论及其应用研究概述[J]．系统工程，2005，23(5)：1-7．
[95] 张培培，侯威，何阅，等．淮扬菜系的网络描述[J]．复杂系统与复杂性科学，2005，2 (2)：49-53．
[96] 赵金山，狄增如，王大辉．北京市公共汽车交通网络几何性质的实证研究叮]．复杂系统与复杂性科学，2005，2(2)：45-48．
[97] 陈洁，许田，何大韧．中国电力网的复杂网络共性[J]．科技导报，2004，4：11-14．
[98] 何阅，张培培，唐继英，等．中药方剂的合作网络描述[J]．科技导报，2005，23(11)：36-37．
[99] Tyler J, Wilkinson D, Huberman B. Email as spectroscopy: automated discovery of community structure within organizations [A]. International Conference on Communities and Technologies [C], 2003, 81-96.
[100] Radicchi F, Castellano C, Cecconi F, etal. Defining and identifying communities in networks [J]. Proc. Natl. Acad. Sci., 2004, 101(9): 2658-2663.
[101] Fortunato S, Latora V, Marchiori M. A method to find community structures based on information centrality[J]. Phys. Rev. E, 2004, 70(5): 056104.
[102] Latora V, Marchiori M. Efficient behavior of small world networks[J]. Phys. Rev. Lett., 2002, 87(19): 198701.
[103] Ouch J, Arenas A. Community detection in complex networks using extreme optimization [Z]. Arxiv: cond-mat/0501368, 2005.
[104] Newman M E J. Fast algorithm for detecting community structure in networks[J]. Phys. Rev. E, 2004, 69(6): 066133
[105] Clauset A, Newman M E J, Moore C. Finding community structure in very large networks [J]. Phys. Rev. E, 2004, 70(6): 066111
[106] Oonetti L, Mu(?) oz M A. Detecting network communities: a new systematic and efficient algorithm[J]. J. Star. Mech, 2004,10: P10012.
[107] Bagrow J P, Bollt E M. A local method for detecting communities[J]. Phys. Rev. E, 2005, 72(4): 046108.
[108] Clauset A. Finding local community structure in networks [J]. Phys. Rev. E, 2005, 72(2): 026132.
[109] 解诌，汪小帆．复杂网络中的社团结构分析算法研究综述[J]．复杂系统与复杂性科学，2005，2(3)：1-11．
[110] 王林，戴冠中．复杂网络的社区发现—理论与应用[J]．科技导报，2005，23 (8)：62-66．
[111] 张鹏，李梦辉，吴金闪．科学家合作网络的聚类分析[J]．复杂系统与复杂性科学，2005，2 (2)：30-34．
[112] 许丹，李翔，汪小帆．复杂网络理论在互联网病毒传播研究中的应用[J]．复杂系统与复杂性科学，2004，1 (3)：10-26．
[113] 王曼，郑应平．基于复杂网络的疾病传播[J]．科技导报，2005，23 (5)：21-24．
[114] 孙胜秋．用复杂网络理论研究疾病的传播[J]．重庆师范大学学报(自然科学版)，2005，22 (4)：1-5．
[115] 方锦清，汪小帆，刘曾荣．略论复杂性问题和非线性复杂网络系统的研究[J]．科技导报，2004，2：9-13．
[116] Strogatz S H. Exploring complex networks[J]. Nature, 2001, 410: 268-276.
[117] Albert R, Jeong H, Barab AL. Error and attack tolerance of complex networks[J]. Nature, 2000, 406: 378-382.
[118] Barabasi A L, Albert R. Emergence of scaling in random networks[J]. Science, 1999, 286(5439): 509-512.
[119] Newman M E J. Models of the small world: a review[J]. Journal of Statistical Physics, 2000, 101: 819-841.
[120] Newman M E J, Moore C, Watts D J. Mean-field solution of the small-world network model[J]. Physical Review Letters, 2000, 84(14): 3201-3204.
[121] Newman M E J, Watts D J. Scaling and percolation in the small-world network model[J]. Physical Review E, 1999, 60: 7332-7342.
[122] Watts D J and Strogatz S H. Collective dynamics of small-world networks[J]. Nature, 1998, 393(6684): 440-442.
[123] Wang Xiao fan, Chen Guan rong. Synchronization in scale-free d namical networks: robustness and fragility[J]. IEEE Transactions on Circuits and Systems, PartⅠ: Regular Paper, 2002, 49(1): 54-62.
[124] Chua L O. C N N: A Paradigm for Complexity[M]. Singapore: World Scientific, 1998.
[125] Kaneko K Ed. Coupled Map Lattices [M]. Singapore: World Scientific, 1992.
[126] Li Xiang, Chen Guan tong. A local-world evolving network model[J]. Physica A, 2002, 328: 274-286.
[127] LU Jinhu. General complex dynamical network models and its synchronization criterions[A]．第22届中国控制会议论文集[C]，湖北宜昌，2003，380-384．
[128] LU Jinhu, Chen Guanrong A time-varying complex dynamical network model and its controlled synchronization criteria[J]. IEEE Transactions on Automatic Control, 2004, in Press.
[129] LU Jinhu, Yu Xinghuo, Chen Guanrong. Chaos synchronization of general complex dynamical networks[J]. Physica A, 2004, 334: 281-302.
[130] LU Jinhu, Yu Xinghuo, then Guanrong, Cheng Daizhan. Characterizing the synchronizability of small-world dynamical networks[J]. IEEE Transactions on Circuits and Systems, PartⅠ: Regular Paper, 2004, 51: in press.
[131] LU Jinhu, Leung Henry, Chen Guanrong. Complex dynamical networks: modelling, synchronization and control[J]. Dynamics of Continuous, Discrete and Impulsive Systems, 2004, in press.
[132] 陈关荣，吕金虎．Lorenz系统族的动力学分析、控制与同步[M]．北京：科学出版 社，2003．
[133] 吕金虎。复杂动力网络的数学模型与同步准则[J]．系统工程理论与实践，2004，24(4)：17-23．
[134] A Barrat, and M Weigt. On the properties of small-world network models[J]. The European Physical Journal, 2000, 13: 547-560.
[135] Newman, M E J., 2001e, unpublished.
[136] Erd(?)s P and A Rényi, On the evolution of random graphs[J]. Publ. Math. Inst. Hung. Acad. Sci., vol. 5, pp. 17-60, 1959.
[137] Newman, M E J. The structure of scientific collaboration networks. Proc. Natl. Acad. Sci. USA 98, 2001: 404-409.
[138] Newman, M E J. Scientific collaboration networks. Ⅱ. Shortest paths, weighted networks, and centrality[J]. Phys. Rev. E, 2001, 64: 016132.
[139] Chung, F, and L Lu. The Diameter of Sparse Random Graphs[J]. Advances in Applied Mathematics. 2001, 26(4): 257-279.
[140] Bollobás, B. Degree sequences of random graphs[J]. Discrete Math.,1981, 33: 1-19.
[141] Barabási, A L, R. Albert, and H Jeong. Mean-field theory for scalc-free random networks[J]. Physica A, 1999, 272: 173-187.
[142] Dorogovtsev, S N, J F F Mendes, and A N Samukhin. Structure of Growing Networks with Preferential Linking[J]. Physical Review Letters, 2000, 85 (21): 4633-4636.
[143] P L Krapivsky, S Redner, and F eyvraz. Connectivity of Growing Random Networks[J]. Physical Review Letters, 2000, 85: 4629-4632.
[144] Amaral, L A N, A Scala, M Barthélémy, and H E Stanley. Classes of small-world networks. Proc. Natl. Acad. Sci. U. S. A. 97, 2000, 21: 11149-11152.
[145] H Jeong, Z Néda and A L Barabási. Measuring preferential attachment for evolving network[J], 2001, preprint cond-mat/0104131.
[146] Newman M E J. Scientific collaboration networks. I. Network construction and fundamental results[J]. Phys. Rev. E., 2001, 64(e016131): 1-8
[147] Dorogovtsev, S N, J F F Mendes, and A N Samukhin. Scaling properties of scale-free evolving networks: Continuous approach[J]. Phys. Rev. E., 2001, 63(e056125): 1-19.
[148] Dorogovtsev, S N, J F F Mendes, and A N Samukhin. WWW and Internet models from 1955 till our days and the "popularity is attractive" principle[J], ariXiv: preprint cond-mat, 2000, 1(0009090): 1-4.
[149] Bianconi, G, and A L Barabási. Competition and multiscaling in evolving networks[J]. Euro Phys. Lett., 2001, 54(4): 436-442.
[150] 黄国瑜，叶乃菁．数据结构(C语言版)(第二版)[M]．北京：清华大学出版社，2003．
[151] 林琪．C++图算法[M]．北京：机械工业出版社，2003．
[152] 李志纯，黄海军．随机交通分配中有效路径的确定方法[J]，交通运输系统工程与信息，2003，(1)：28-32．
[153] http://student,zjzk.cn/course_ware/data_structure/web/jingcaiwen_zhang/wenzhang11.htm
[154] S N Dorogovtsev, and J F F Mendes. Evolution of networks with aging of sites[J]. Phys. Rev. E, 2000, 62: 1842-1845.
[155] Gardner E S, Mc Kenzi E. Forecasting trends in time series[J]. Management Science, 1985, 31(10): 1237-1246.
[156] 唐小我．预测理论及其应用[M]．武汉：电子科技大学出版社，1992．
[157] 齐小华，高福安．预测理论与方法[M]．北京：北京广播学院出版社，1994．
[158] 邓聚龙．灰理论基础[M]．武汉：华中科技大学出版社，2002．
[159] 李峰，刘静延，蒋录全．预测方法的发展及最新动态．情报杂志．2005，(6)：76-77．
[160] 杨杰，张斌，华中生．间断需求预测方法综述．预测．2005，24(5)：70-75．
[161] Brown D C. Defining configuring[J]. Artificial Intelligent for Engineering Design, Analysis and Manufacturing, 1998, 12(4): 301-306.
[162] 王峰，俞新陆．产品级三维参数化设计系统的研究与开发[J]．计算机辅助设计与图形学学报，2001，13(11)：1012-1018．
[163] 余军合，祁国宁．事物特性表支持的变型设计方法[J]．农业机械学报，2005，36(4)：107-111．
[164] 余军合．面向对象的事物特性表实现方法研究[J]．中国机械工程，2005，36(10)：878-881．
[165] 张继春．Pro／ENGINEER二次开发实用教程[M]．北京：北京大学出版社，2003．
[166] 李世国．Pro／TOOLKIT程序设计[M]．北京：机械工业出版社，2003．
[167] 周明建，高济．知识管理系统中的用户视图[J]．计算辅助设计与图形学学报，2005，17(5)：1101-1106．
[168] 钱亚东．支持协同设计的知识管理系统研究与开发[D]：博士论文．杭州：浙江大学，2006．
[169] 刘夫云，祁国宁，车宏安．复杂网络中简单路径搜索算法及其应用研究[J]．系统工程理论与实践，2006，26(4)：9-13．
[170] 刘夫云，杨青海，祁国宁．基于复杂网络的产品族零部件通用性分析方法[J]．机械工程学报，2005，41(11)：75-79．
[171] 刘夫云，祁国宁，杨青海．基于复杂网络的零部件用量预测方法[J]．机械工程学报，2006，42(6)：1-6．
[172] 潘双夏，高飞，冯培恩．批量客户化生产模式下的模块划分方法研究[J]．机械工程学报，2003，39(7)：1-6．
[173] 滕晓艳，张家泰．产品模块化设计方法的研究[J]．应用科技，2006，33(2)：62-64．
[174] 吕利勇，乔立红，王田苗．面向产品生命周期的产品模块化分解方法研究[J]．计算机集成制造系统，2006，12(4)：546-550．