基于GA-BP算法的着装时男性下体热湿舒适性预测
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摘要
为探究着装时男性下体热湿舒适性的影响因子,而这些因子之间又存在高度非线性的、复杂的关系,文章提出采用具有全局搜索寻优的遗传算法优化BP神经网络(即GA-BP),分析男性下体热湿舒适性指标及建立SVM模型进行预测,并与灰色关联度法、线性回归分析、模糊数学及BP算法的预测结果作对比。结果表明:影响男性下体热湿舒适性的主要因素是内裤面料的成分及纤维含量、回潮率、保温率、传热系数及衣下空气层;所建立的模型具有较高的精确度和可操作性,可以有效地预测主观舒适性,较优于其他算法。
In order to explore the influencing factors on the heat-moisture comfort of male lower body in dressing,whereas there is a highly nonlinear and complex relationship among these factors,genetic algorithm and BP neural network( GA-BP) with global optimization were adopted to analyze heat-moisture comfort indicators of male lower body and establish SVM model for prediction. Besides,the prediction result was compared with that of gray correlation method,Regression Analysis,Fuzzy mathematics and BP algorithm. The results showed that the main factors influencing the heat-moisture comfort of the male lower body were the composition of the underpants,the fiber content,the moisture regain,the heat preservation rate,the heat transfer coefficient and the air layer beneath the clothes. In addition,the established model with high accuracy and operability could effectively predict the subjective comfort,and it is better than other algorithms.
In order to explore the influencing factors on the heat-moisture comfort of male lower body in dressing,whereas there is a highly nonlinear and complex relationship among these factors,genetic algorithm and BP neural network( GA-BP) with global optimization were adopted to analyze heat-moisture comfort indicators of male lower body and establish SVM model for prediction. Besides,the prediction result was compared with that of gray correlation method,Regression Analysis,Fuzzy mathematics and BP algorithm. The results showed that the main factors influencing the heat-moisture comfort of the male lower body were the composition of the underpants,the fiber content,the moisture regain,the heat preservation rate,the heat transfer coefficient and the air layer beneath the clothes. In addition,the established model with high accuracy and operability could effectively predict the subjective comfort,and it is better than other algorithms.
引文
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[21]苏云,王云仪,李俊.消防服衣下空气层热传递机制研究进展[J].纺织学报,2016,37(1):167-172.SU Yun,WANG Yunyi,LI Jun.Research progress of heat transfer mechanism of air gap under firefighter protective clothing[J].Journal of Textile Research,2016,37(1):167-172.
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[23]王敏,李俊.衣下空间作用机制与防护服舒适性[J].中国个体防护装备,2009(5):18-21.WANG Min,LI Jun.The effect mechanism of the space under clothes and the comfort of protective clothes[J].China Personal Protective Equipment,2009(5):18-21.
[24]赖军,张梦莹,张华,等.消防服衣下空气层的作用与测定方法研究进展[J].纺织学报,2017,38(6):151-156.LAI Jun,ZHANG Mengying,ZHANG Hua,et al.Research progress on air gap entrapped in firefighters’protective clothing and its measurement methods[J].Journal of Textile Research,2017,38(6):151-156.
[25]段杏元,胡源盛.男士针织内衣热性能的测量与分析[J].纺织学报,2016,37(12):92-96.DUAN Xingyuan,HU Yuansheng.Measurement and analysis on thermal properties of men’s knitted underwears[J].Journal of Textile Research,2016,37(12):92-96.
[26]孙斌,蒋能飞.人工神经网络在预测热舒适性指标中的应用[J].土木建筑与环境工程,2011,33(S1):130-133.SUN Bin,JIANG Nengfei.Application of thermal comfort index based on artificial neural network[J].Journal of Civil,Architectural&Environmental Engineering,2011,33(S1):130-133.
[27]管爱红,张红梅,杨铁军,等.MATLAB基础与应用教程[M].北京:电子工业出版社,2009.GUAN Aihong,ZHANG Hongmei,YANG Tiejun,et al.MATLAB Basics and Applications Tutorial[M].Beijing:Publishing House of Electronics Industry,2009.
[28]许国根,贾瑛.模式误别与智能计算的MATLAB实现[M].北京:北京航空航天大学出版社,2012.XU Guogen,JIA Ying.MATLAB Implementation of Pattern Error and Intelligent Calculation[M].Beijing:Beihang University Press,2012.
[2]WANG Yunyi,PAN Jinhuan,LIU Suyan.Study on the relation between the air gap size under clothing and the comfort sensations[J].Journal of Donghua University,2006(5):101-107.
[3]王林玉,王厉冰.人工神经网络在预测服装及面料舒适性方面的探讨[J].青岛大学学报(工程技术版),2006,21(1):82-85,91.WANG Linyu,WANG Libing.Discussion about artificial neural network predicting clothing and fabrics comfort[J].Journal of Qingdao University(Engineering&Technology Edition),2006,21(1):82-85,91.
[4]黄淑平,马崇启,周衡书.竹原纤维织物热湿舒适性的灰色关联评价模型[J].纺织学报,2009,30(9):33-36.HUANG Shuping,MA Chongqi,ZHOU Hengshu.Model of thermal and moisture comfort evaluation of bamboo fiber fabric based on grey correlation degree[J].Journal of Textile Research,2009,30(9):33-36.
[5]王美丽.基于人工神经网络休闲运动胸衣舒适性的研究[D].无锡:江南大学,2009.WANG Meili.Study on Comfort of Leisure Sports Bra Based on Artificial Neural Network[D].Wuxi:Jiangnan University,2009.
[6]景晓宁,李亚滨.织物热湿舒适性能评价指标的灰色理论研究[J].国际纺织导报,2011,39(4):70-72,74-75.JING Xiaoning,LI Yabin.Study on heat-moisture comfort evaluation index of fabrics with grey theory[J].Melliand China,2011,39(4):70-72,74-75.
[7]陈香云,班媛,吴薇.灰色理论在织物热湿舒适性预测中的应用[J].内蒙古工业大学学报(自然科学版),2011,30(2):150-154.CHEN Xiangyun,BAN Yuan,WU Wei.Gray theroy applied to forecasting comfortableness of fabrics against heat and moisture[J].Journal of Inner Mongolia University of Technology(Natural Science),2011,30(2):150-154.
[8]王飞.内衣用PTT混纺针织面料的舒适性研究[D].苏州:苏州大学,2012.WANG Fei.Study on Comfort of PTT Blended Knitted Fabric for Underwear[D].Suzhou:Soochow University,2012.
[9]崔丹丹.牛奶纤维混纺针织内裤面料开发及其舒适性能研究[D].上海:东华大学,2015.CUI Dandan.Development and Comfort Properties of Milk Fiber Blended Knitted Underwear Fabric[D].Shanghai:Donghua University,2015.
[10]TORVI D A.Heat Transfer in Thin Fibrous Materials under High Heat Flux Conditions[D].Edmonton:University of Alberta,1997.
[11]SONG Guowen.Clothing air gap layers and thermal protective performance in single layer garment[J].Journal of Industrial Textiles,2007,36(3):193-205.
[12]孔令剑,晏雄.织物透湿性能测试与MATLAB应用研究[J].湖南工程学院学报(自然科学版),2005,15(2):84-87.KONG Lingjian,YAN Xiong.Study on test of moisture permeability of fabric and application of MATLAB[J].Joural of Hunan Institute of Engineering(Natural Science Edition),2005,15(2):84-87.
[13]景晓宁.基于BP人工神经网络的新型面料热湿舒适性研究[D].天津:天津工业大学,2010.JING Xiaoning.Study on Thermal and Moisture Comfort of New Fabric Based on BP Artificial Neural Network[D].Tianjin:Tianjin Polytechnic University,2010.
[14]何春燕,周永凯,张华.不同面料的男士内裤热湿舒适性研究[J].天津纺织科技,2013(1):40-43,49.HE Chunyan,ZHOU Yongkai,ZHANG Hua.Study on thermal and moisture comfort of men’s underwear with different fabrics[J].Tianjin Textile Science&Technology,2013(1):40-43,49.
[15]刘丽英,刘林.服装舒适性主观评价及主客观指标间的相关性研究[J].青岛大学学报(工程技术版),2013,28(3):60-63,68.LIU Liying,LIU Lin.Subjective evaluation of clothing comfort and their correlation with laboratory test[J].Journal of Qingdao University(Engineering&Technology Edition),2013,28(3):60-63,68.
[16]李敏.基于新型功能针织面料的舒适性评价及湿传递性能预测[D].上海:东华大学,2010.LI Min.Comfort Evaluation and Moisture Transfer Performance Prediction of Knitted Fabrics Based on New Function[D].Shanghai:Donghua University,2010.
[17]柯宝珠.新型运动面料的开发及织物主观热湿舒适性智能预测模型的建立[D].上海:东华大学,2006.KE Baozhu.Development of New Sports Fabrics and Establishment of Intelligent Prediction Model for Subjective Thermal and Moisture Comfort of Fabrics[D].Shanghai:Donghua University,2006.
[18]段杏元.新型热湿舒适性内衣面料的开发及应用[J].江苏纺织,2008(3):50-52.DUAN Xingyuan.Development and application of new thermal and moisture comfort underwear fabric[J].Jiangsu Textile,2008(3):50-52.
[19]孙菲菲,李俊,韩嘉珅.基于织物物理性能的服装舒适感觉的评价与预测[J].纺织学报,2006,27(11):82-85.SUN Feifei,LI Jun,HAN Jiashen.Evaluation and prediction of clothing comfort based on fabric physical properties[J].Journal of Textile Research,2006,27(11):82-85.
[20]张昭华,翟世瑾,尹思源.衣下间隙对织物系统热湿阻的影响[J].纺织学报,2016,37(6):101-106,111.ZHANG Zhaohua,ZHAI Shijin,YIN Siyuan.Influence of air gaps on thermal and evaporative resistances of fabric system[J].Journal of Textile Research,2016,37(6):101-106,111.
[21]苏云,王云仪,李俊.消防服衣下空气层热传递机制研究进展[J].纺织学报,2016,37(1):167-172.SU Yun,WANG Yunyi,LI Jun.Research progress of heat transfer mechanism of air gap under firefighter protective clothing[J].Journal of Textile Research,2016,37(1):167-172.
[22]张昭华,王云仪,李俊.衣下空气层厚度对着装人体热传递的影响[J].纺织学报,2010,31(12):103-107.ZHANG Zhaohua,WANG Yunyi,LI Jun.Effect of thickness of air layer under clothing on heat transmission of wearer[J].Journal of Textile Research,2010,31(12):103-107.
[23]王敏,李俊.衣下空间作用机制与防护服舒适性[J].中国个体防护装备,2009(5):18-21.WANG Min,LI Jun.The effect mechanism of the space under clothes and the comfort of protective clothes[J].China Personal Protective Equipment,2009(5):18-21.
[24]赖军,张梦莹,张华,等.消防服衣下空气层的作用与测定方法研究进展[J].纺织学报,2017,38(6):151-156.LAI Jun,ZHANG Mengying,ZHANG Hua,et al.Research progress on air gap entrapped in firefighters’protective clothing and its measurement methods[J].Journal of Textile Research,2017,38(6):151-156.
[25]段杏元,胡源盛.男士针织内衣热性能的测量与分析[J].纺织学报,2016,37(12):92-96.DUAN Xingyuan,HU Yuansheng.Measurement and analysis on thermal properties of men’s knitted underwears[J].Journal of Textile Research,2016,37(12):92-96.
[26]孙斌,蒋能飞.人工神经网络在预测热舒适性指标中的应用[J].土木建筑与环境工程,2011,33(S1):130-133.SUN Bin,JIANG Nengfei.Application of thermal comfort index based on artificial neural network[J].Journal of Civil,Architectural&Environmental Engineering,2011,33(S1):130-133.
[27]管爱红,张红梅,杨铁军,等.MATLAB基础与应用教程[M].北京:电子工业出版社,2009.GUAN Aihong,ZHANG Hongmei,YANG Tiejun,et al.MATLAB Basics and Applications Tutorial[M].Beijing:Publishing House of Electronics Industry,2009.
[28]许国根,贾瑛.模式误别与智能计算的MATLAB实现[M].北京:北京航空航天大学出版社,2012.XU Guogen,JIA Ying.MATLAB Implementation of Pattern Error and Intelligent Calculation[M].Beijing:Beihang University Press,2012.