高层结构智能选型知识发现及方法比较
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摘要
首先,介绍了知识发现的产生及其与数据挖掘的区别与联系,较系统地分析了知识发现的研究与应用现状,给出了知识发现的特征、问题求解过程及8种常用的知识发现方法;其次,明确地指出了高层结构智能选型知识发现的4个主要原因,提出了高层结构实例信息的5个典型特征;最后,对作者已建立的6种高层建筑结构智能选型知识发现方法的特征与适用范围等进行了比较,指出了它们具有较好的互补关系而非竞争关系。上述工作为解决结构智能选型知识获取“瓶颈”问题及在结构选型过程中充分利用已有工程实例资源等提供了新的手段与方法。
Firstly,the characteristics,problem-seeking process and eight common methods of knowledge discovery was given by introducing the difference and affiliation between knowledge discovery and its data-digging,analyzing systemically the research and application status quo of knowledge discovery.Secondly,by indicating definitely four main reasons for knowledge discovery for high-rise structures intelligent form selection,five representative characteristics of engineering cases for high-rise buildings was put forward.At last,through the comparisons of the characteristics and scopes of six methods of knowledge discovery for high-rise structures intelligent form selection which the author had set up,a relationship of complementarity,not competition among these methods was pointed out.The work showed above can provide a new way and method for fully making use of engineering case library,resolving the `bottleneck' of knowledge getting of structural form-selection.
Firstly,the characteristics,problem-seeking process and eight common methods of knowledge discovery was given by introducing the difference and affiliation between knowledge discovery and its data-digging,analyzing systemically the research and application status quo of knowledge discovery.Secondly,by indicating definitely four main reasons for knowledge discovery for high-rise structures intelligent form selection,five representative characteristics of engineering cases for high-rise buildings was put forward.At last,through the comparisons of the characteristics and scopes of six methods of knowledge discovery for high-rise structures intelligent form selection which the author had set up,a relationship of complementarity,not competition among these methods was pointed out.The work showed above can provide a new way and method for fully making use of engineering case library,resolving the `bottleneck' of knowledge getting of structural form-selection.
引文
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[5]欧进萍,张世海,刘晓燕,等.高层钢筋混凝土结构抗震选型的模糊专家系统[J].地震工程与工程振动,1997,17(2):82-91.
[6]刘西拉,李楚舒.基于神经网络的高层结构体系选择[J].建筑结构学报,1999,20(5):36-41.
[7]Fan Jianua and Li Deyi.An Overview of Data Mining and Knowl-edge Discovery,J.of Comput.Sci.&Technol..1998,13(4):348-368.
[8]Piatetsky-Shapiro G,Frawley W J.Knowledge Discovery inDatabase.Cambridge,MA:AAAI/MIT Press.1991.
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[13]张宜生,刘凡.人力资源数据挖掘技术及其应用[J].计算机工程与应用,2002,38(6):187-189.
[14]Shi Zhongzhi,You Xiangtao,Ye Shiren.General Multi-strategyData Mining Platform-MSMiner.ANNIE,USA.2000.
[15]Shortland R,Scarfe R.Digging for Gold(Data Management).IEE Review,1995,41(5):213-217.
[16]王光远,张世海,等.高层建筑结构方案实例库系统及其在结构智能选型中应用[J].工程力学,2003,20(4):1-8.
[17]张世海.高层建筑结构智能选型的理论与方法研究[D].哈尔滨:哈尔滨工业大学,2003.
[18]张世海,欧进萍,王光远.基于实例基因库与遗传算法的高层结构智能选型知识发现[J].工程力学(已录用).
[19]张世海,刘晓燕,涂庆,欧进萍.基于决策树的高层结构智能选型知识发现[J].哈尔滨工业大学学报(已录用).
[2]Soibelman L.(1998).The exploration of an integrated representa-tion for the conceptual design phase of structural design for tallbuildings through distributed multi-reasoning algorithms[D].PhDthesis,Massachusetts Institute of Technology,Cambridge,Mass.
[3]Lucio Soibelman and Feniosky Pena-Mora,Distributed Multi-Rea-soning Mechanism to Support Conceptual Structural Design.Jour-nal of Structural Engineering[J],Vol.126,No.6,June,2000.733-742.
[4]赖明,杨溥.钢筋混凝土抗震结构选型的模糊综合评判[J].建筑结构学报,1996,17(8):44-51.
[5]欧进萍,张世海,刘晓燕,等.高层钢筋混凝土结构抗震选型的模糊专家系统[J].地震工程与工程振动,1997,17(2):82-91.
[6]刘西拉,李楚舒.基于神经网络的高层结构体系选择[J].建筑结构学报,1999,20(5):36-41.
[7]Fan Jianua and Li Deyi.An Overview of Data Mining and Knowl-edge Discovery,J.of Comput.Sci.&Technol..1998,13(4):348-368.
[8]Piatetsky-Shapiro G,Frawley W J.Knowledge Discovery inDatabase.Cambridge,MA:AAAI/MIT Press.1991.
[9]Fayyad U M,Piatetsky-Shapiro.Advances in Knowledge Dis-covery and Data Mining.MA:AAAI/MIT Press.1996.
[10]史忠植.知识发现[M].北京:清华大学出版社,2002.2-18,85-115,402-409.
[11][美]格罗思R.侯迪,等译.数据挖掘—构筑企业的竞争优势[M].西安:西安交通大学出版社,2001.125-186.
[12]王建新,李彦民.数据发掘技术在一类电力负荷预测中的应用[J].计算机工程与应用,2002,38(5):201-203.
[13]张宜生,刘凡.人力资源数据挖掘技术及其应用[J].计算机工程与应用,2002,38(6):187-189.
[14]Shi Zhongzhi,You Xiangtao,Ye Shiren.General Multi-strategyData Mining Platform-MSMiner.ANNIE,USA.2000.
[15]Shortland R,Scarfe R.Digging for Gold(Data Management).IEE Review,1995,41(5):213-217.
[16]王光远,张世海,等.高层建筑结构方案实例库系统及其在结构智能选型中应用[J].工程力学,2003,20(4):1-8.
[17]张世海.高层建筑结构智能选型的理论与方法研究[D].哈尔滨:哈尔滨工业大学,2003.
[18]张世海,欧进萍,王光远.基于实例基因库与遗传算法的高层结构智能选型知识发现[J].工程力学(已录用).
[19]张世海,刘晓燕,涂庆,欧进萍.基于决策树的高层结构智能选型知识发现[J].哈尔滨工业大学学报(已录用).
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