基于人工神经网络休闲运动胸衣舒适性的研究
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摘要
随着社会的变革和时代的进步、人们生活水平的不断提高、体育竞技赛的不断发展,运动胸衣在现代女性生活中占据越来越重要的地位,消费者对运动胸衣舒适性的要求也越来越高。本课题研究运动胸衣的热湿舒适性能和形态压力舒适性能,采用BP人工神经网络建立面料基本参数、性能与舒适性之间的模型。根据运动科学与人体工学理论,将分区设计理念运用到运动胸衣中,选用市场同廓型运动胸衣与本课题设计的运动胸衣进行对比着装测试,通过一系列实验研究面料性能对运动胸衣舒适性能的影响。
本课题分析了休闲运动胸衣市场的发展现状,并对国内外关于运动胸衣的研究文献进行了查阅和综述,概述了服装舒适性的有关概念,探讨了运动胸衣舒适性能的要求和影响因素。本课题选择10种常用的运动胸衣针织面料,通过实验的方法,选用相关实验仪器测试出面料的基本参数、热湿舒适性能以及形态压力舒适性能指标。
按照Matlab的语言规则,编写好数据输入与网络训练程序,提交给Matlab应用程序进行网络训练。输入参数为面料成分,克重、厚度以及纵密值;采用试错的方法来确定隐含层数和隐含层神经元数;输出参数分别为保暖率、透气率、芯吸高度;最大训练次数为1000000;目标误差为0.01;动量项:0.9;学习率:0.5;最终选取4×9×1的三层BP网络模型分析预测面料的热湿舒适性和形态压力舒适性。
论文根据中等强度运动时女性上身具有代表性各部位运动出汗强度及弹性压力大小程度不同,将上身代表性部位胸、肩、下胸围、背部进行分区设计,即不同部位选择不同舒适性能的面料,具体为:肩部选择高弹且导湿性能中等的面料;下胸围底边可以选择弹性和回弹性较好的材料;背部选择中弹且导湿性能良好的面料;胸部选择高弹高导湿的外布、里布选择吸湿性较好且较柔软的面料。结构上,下胸围底边加宽橡皮筋设计,肩部前后分割设计,胸部内置薄杯设计,背部三次分割挖空设计。
论文通过穿着实验对人工网络模型及运动胸衣的分区设计理论进行佐证:本课题设计的运动胸衣除在下胸围的部位的热湿舒适感不如市面上运动胸衣之外,其他各部位热湿舒适性能以及压力值均优于市场同类运动胸衣。
With society changes and the progress of the times,the continuous improvement of people's living standard and the development of sports competition,sport brassieres occupy a more and more important position in modern women’s life and consumers pay a increasingly attention to the comfort of sport brassieres. By the means of BP artificial neural network,the article established a model on the basic parameters,performance and comfort of the fabric to research the thermal-wet and pattern pressure comfort of the sport brassieres. According to sports science and ergonomics theory,with zoning design concept applied,this paper used dressing test to compare the experimental brassieres and the ones selected in the market with the same profile-type.Then studied how the comfort of sport brassieres affected by the fabric performances through a series of experiments.
By analysis of the development status quo of recreational sport brassieres and searching and summarizing the related literature both at home and abroad, the paper provided an overview of the concept of dressing comfort and its requirements and the impact of factors. This topic selected 10 kinds of knitted fabric commonly used for sports bras and made use of equipments related to the experimental test of the basic parameters of the fabric, thermal-wet comfort performance and comfortable index of pressure form through experimental methods.
Drawn up with the data, experimental officers input network training programs and submitted them to the network training by Matlab applications in the light of Matlab language rules. Input parameters as the material composition, weight, thickness and the longitudinal density value;Use of trial and error method to determine the hidden layers and the number of hidden layer neurons;output parameters as heat rates, ventilation rates, high wicking; largest training number was 1000000; target error was 0.01;momentum item:0.9;learning rate: 0.5; finally selected the three-BP network model of 4×9×1 to analyze and forecast the thermal-wet comfort and form pressure performance of the fabric.
On the basis of the different sport sweating intensity and the degree flexibility pressure on various parts of representation on women’s body during moderate-intensity sport,the paper zoning designed the representative parts on the upper body as chest, shoulder,lower chest and back-different parts using fabric of different comfort properties. Specific as follows: shoulder to choose high-elastic and moisture performance fabric medium; under the bust can choose good elasticity and flexibility materials; back to choose moderate flexibility and good wet performance fabric; chest to choose high-bomb and high-moisture outer cloth and interlining cloth with good moisture absorption and soft fabric. Structure-the rubber band design under the bust wide bottom, partition design before and after the shoulder, built-thin glass design on the chest, three times partition and hollowing outdesign on the back.
This thesis testifid the artificial network model and zoning design theory of sport brassieres by dressing experiments.There was a shortage about the experimental ones that thermal-wet comfort under bust was discontented,but the pressure value and the thermal-wet comfort of other parts were superior to similar sport brassieres in the market.
本课题分析了休闲运动胸衣市场的发展现状,并对国内外关于运动胸衣的研究文献进行了查阅和综述,概述了服装舒适性的有关概念,探讨了运动胸衣舒适性能的要求和影响因素。本课题选择10种常用的运动胸衣针织面料,通过实验的方法,选用相关实验仪器测试出面料的基本参数、热湿舒适性能以及形态压力舒适性能指标。
按照Matlab的语言规则,编写好数据输入与网络训练程序,提交给Matlab应用程序进行网络训练。输入参数为面料成分,克重、厚度以及纵密值;采用试错的方法来确定隐含层数和隐含层神经元数;输出参数分别为保暖率、透气率、芯吸高度;最大训练次数为1000000;目标误差为0.01;动量项:0.9;学习率:0.5;最终选取4×9×1的三层BP网络模型分析预测面料的热湿舒适性和形态压力舒适性。
论文根据中等强度运动时女性上身具有代表性各部位运动出汗强度及弹性压力大小程度不同,将上身代表性部位胸、肩、下胸围、背部进行分区设计,即不同部位选择不同舒适性能的面料,具体为:肩部选择高弹且导湿性能中等的面料;下胸围底边可以选择弹性和回弹性较好的材料;背部选择中弹且导湿性能良好的面料;胸部选择高弹高导湿的外布、里布选择吸湿性较好且较柔软的面料。结构上,下胸围底边加宽橡皮筋设计,肩部前后分割设计,胸部内置薄杯设计,背部三次分割挖空设计。
论文通过穿着实验对人工网络模型及运动胸衣的分区设计理论进行佐证:本课题设计的运动胸衣除在下胸围的部位的热湿舒适感不如市面上运动胸衣之外,其他各部位热湿舒适性能以及压力值均优于市场同类运动胸衣。
With society changes and the progress of the times,the continuous improvement of people's living standard and the development of sports competition,sport brassieres occupy a more and more important position in modern women’s life and consumers pay a increasingly attention to the comfort of sport brassieres. By the means of BP artificial neural network,the article established a model on the basic parameters,performance and comfort of the fabric to research the thermal-wet and pattern pressure comfort of the sport brassieres. According to sports science and ergonomics theory,with zoning design concept applied,this paper used dressing test to compare the experimental brassieres and the ones selected in the market with the same profile-type.Then studied how the comfort of sport brassieres affected by the fabric performances through a series of experiments.
By analysis of the development status quo of recreational sport brassieres and searching and summarizing the related literature both at home and abroad, the paper provided an overview of the concept of dressing comfort and its requirements and the impact of factors. This topic selected 10 kinds of knitted fabric commonly used for sports bras and made use of equipments related to the experimental test of the basic parameters of the fabric, thermal-wet comfort performance and comfortable index of pressure form through experimental methods.
Drawn up with the data, experimental officers input network training programs and submitted them to the network training by Matlab applications in the light of Matlab language rules. Input parameters as the material composition, weight, thickness and the longitudinal density value;Use of trial and error method to determine the hidden layers and the number of hidden layer neurons;output parameters as heat rates, ventilation rates, high wicking; largest training number was 1000000; target error was 0.01;momentum item:0.9;learning rate: 0.5; finally selected the three-BP network model of 4×9×1 to analyze and forecast the thermal-wet comfort and form pressure performance of the fabric.
On the basis of the different sport sweating intensity and the degree flexibility pressure on various parts of representation on women’s body during moderate-intensity sport,the paper zoning designed the representative parts on the upper body as chest, shoulder,lower chest and back-different parts using fabric of different comfort properties. Specific as follows: shoulder to choose high-elastic and moisture performance fabric medium; under the bust can choose good elasticity and flexibility materials; back to choose moderate flexibility and good wet performance fabric; chest to choose high-bomb and high-moisture outer cloth and interlining cloth with good moisture absorption and soft fabric. Structure-the rubber band design under the bust wide bottom, partition design before and after the shoulder, built-thin glass design on the chest, three times partition and hollowing outdesign on the back.
This thesis testifid the artificial network model and zoning design theory of sport brassieres by dressing experiments.There was a shortage about the experimental ones that thermal-wet comfort under bust was discontented,but the pressure value and the thermal-wet comfort of other parts were superior to similar sport brassieres in the market.
引文
1.环球咨询.我国运动服行业市场现状[EB/OL].http://www.icinet.com.cn/ReadNew- s.asp? NewsID=27979,2008-12-17
2.高韬.耐克舞让她们更爱自己.[EB/OL].http://www.3cnn.com/ppzj/qygl/200611/8- 460.html2006-11-27
3.常丽霞,张欣.运动胸衣研究现状[J].针织工业,2005(11):27
4.王琛.运动内衣托好你的美丽[J].城色,2008(1)77
5.常丽霞.基于三维人体测量的轻度运动型胸衣的研究[D]:[硕士学位论文].西安:西安工程科技学院,2005
6.袁飞.江浙女大学生上装运动舒适性研究——胸围放松量分析[D]:[硕士学位论文].浙江:浙江工程学院2003
7.周晴,徐军.运动内衣穿着压力舒适的主观评定[J].纺织学报,2004(12):63-65
8.王林玉.基于人工神经网络的针织内衣面料热湿舒适性评价及预测[D]:[硕士学位论文].青岛:青岛大学纺织服装学院,2006
9.Wong A S W,Li Y,Yeung, P K W.Neural Network Predictions of Human Psychologic Perceptions Clothing Sensory Comfort[J].Textile ResJ,2003,73(1):31-37
10.韩力群.人工神经网络理论设计及应用[M].北京:化学工业出版社,2002,1-60
11.钱建军.润湿织物热湿舒适性能研究[D]:[硕士学位论文].北京:北京服装学院,2007
12.蒋蕙钧.服装材料[M].南京:江苏科学技术出版社,2004,169—305
13.于伟东.纺织材料学[M].北京:中国纺织出版社2006,334-335
14.林烨.关于服装舒适性及其评价方法的分析与研究[J].学术探讨,2007(12):220-223
15.王晋子.青年女性内衣压力舒适性小样本研究[D]:[硕士学位论文].北京:北京服装学院,2005
16.吴济宏,于伟东.针织面料的拉伸弹性与服装压[J].武汉科技学院学报,2006(1):21-25
17.Tamura T. , Koshiba T., Chung M.H. Effect of clothing pressure on the autonomic and the central nervous system [C] .Proceeding of the 23rd Symposium on Human environment System , Sapporo , Japan , 1999 : 132 - 135.
18.凌群民.显汗状态下服装热湿舒适性研究[D]:[硕士学位论文].苏州:苏州大学材料工程学院,2004
19.林旭飞.浅析服装人体功效与文胸设计[J].宁波服装职业技术学院学报,2003(3)20-22
20.FZ/T70006-2004针织物拉伸弹性回复率试验方法[S].北京:发改委,2004
21.楼顺天,施阳.基于MATLAB的系统分析与设计—神经网络[M].西安:西安电子科技大学出版社,1998:1-53
22.Ilker Bekir Topc, Mustafa Sardemir. Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic. [J]. Computational materials science ,2008,(41):305-311
23.张立明.人工神经网络的模型及其应用[M].上海:复旦大学出版社,1992:1-52
24.R.c.Elberhart, R.W.Dobbins. Neural Network Pc tools. [J]. Academic Press,1990.1-25
25.Z. Y. Liu, W. D. Wang, W. Gao. Predictions of the mechanical properties of hot-rolled C-Mn steels using artificial neural networks. [J]. Materials processing technology, 1996,(57):332~336
26.曾令可,叶卫平.计算机在材料科学与工程中的应用[M].武汉:武汉理工大学出版社,2002:197-261
27.肖红.针织保暖内衣卫生舒适性分区设计[J].针织工业,2005(8):28-31
28.周晴.紧身衣压力舒适性的研究——基于运动背心压力舒适性的评价[D]:[硕士学位论文].西安:西安工程科技学院,2003
29.陆文明.常规针织物热湿舒适性研究[D]:[硕士学位论文].青岛:青岛大学纺织服装学院,2006
30.王府梅.服装面料的性能设计[M].上海:中国纺织出版社,2000,92-93
31.印建荣.内衣结构设计教程[M]中国纺织出版社,2006
32.中泽愈著,袁观洛译.人体与服装[M].中国纺织出版社,2000
33.安哈格著,北京服装学院爱慕人体工学研究所译.内衣,泳装、沙滩装及休闲服纸样设计[M].中国纺织出版社,2001
34.桂继烈.针织服装设计基础[M].中国纺织出版社,2002
35.刘静伟.服装材料试验教程[M].中国纺织出版社,2000
36.孔令剑.织物透湿性能测试与MATLAB应用研究[J].湖南工程学院报,2005(2):83-87
37.刘冬云.高运动性针织服装纸样的探讨[J].针织工业,2004(12):61-62
38.孔令剑.织物透湿性能测试与MATLAB应用研究[J].湖南工程学院学报,2005(2):83-87
39.王秀芝.弹性针织运动胸衣的纸样处理[J].德州学院学报,2007(8):68-70
40.王宏付.服装的透气、透湿性与穿着舒适性关系研究[J].江苏纺织,2004(2):44-46
41.王威.紧身服装的舒适性研究[J].上海纺织科技,2002(4):52-54
2.高韬.耐克舞让她们更爱自己.[EB/OL].http://www.3cnn.com/ppzj/qygl/200611/8- 460.html2006-11-27
3.常丽霞,张欣.运动胸衣研究现状[J].针织工业,2005(11):27
4.王琛.运动内衣托好你的美丽[J].城色,2008(1)77
5.常丽霞.基于三维人体测量的轻度运动型胸衣的研究[D]:[硕士学位论文].西安:西安工程科技学院,2005
6.袁飞.江浙女大学生上装运动舒适性研究——胸围放松量分析[D]:[硕士学位论文].浙江:浙江工程学院2003
7.周晴,徐军.运动内衣穿着压力舒适的主观评定[J].纺织学报,2004(12):63-65
8.王林玉.基于人工神经网络的针织内衣面料热湿舒适性评价及预测[D]:[硕士学位论文].青岛:青岛大学纺织服装学院,2006
9.Wong A S W,Li Y,Yeung, P K W.Neural Network Predictions of Human Psychologic Perceptions Clothing Sensory Comfort[J].Textile ResJ,2003,73(1):31-37
10.韩力群.人工神经网络理论设计及应用[M].北京:化学工业出版社,2002,1-60
11.钱建军.润湿织物热湿舒适性能研究[D]:[硕士学位论文].北京:北京服装学院,2007
12.蒋蕙钧.服装材料[M].南京:江苏科学技术出版社,2004,169—305
13.于伟东.纺织材料学[M].北京:中国纺织出版社2006,334-335
14.林烨.关于服装舒适性及其评价方法的分析与研究[J].学术探讨,2007(12):220-223
15.王晋子.青年女性内衣压力舒适性小样本研究[D]:[硕士学位论文].北京:北京服装学院,2005
16.吴济宏,于伟东.针织面料的拉伸弹性与服装压[J].武汉科技学院学报,2006(1):21-25
17.Tamura T. , Koshiba T., Chung M.H. Effect of clothing pressure on the autonomic and the central nervous system [C] .Proceeding of the 23rd Symposium on Human environment System , Sapporo , Japan , 1999 : 132 - 135.
18.凌群民.显汗状态下服装热湿舒适性研究[D]:[硕士学位论文].苏州:苏州大学材料工程学院,2004
19.林旭飞.浅析服装人体功效与文胸设计[J].宁波服装职业技术学院学报,2003(3)20-22
20.FZ/T70006-2004针织物拉伸弹性回复率试验方法[S].北京:发改委,2004
21.楼顺天,施阳.基于MATLAB的系统分析与设计—神经网络[M].西安:西安电子科技大学出版社,1998:1-53
22.Ilker Bekir Topc, Mustafa Sardemir. Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic. [J]. Computational materials science ,2008,(41):305-311
23.张立明.人工神经网络的模型及其应用[M].上海:复旦大学出版社,1992:1-52
24.R.c.Elberhart, R.W.Dobbins. Neural Network Pc tools. [J]. Academic Press,1990.1-25
25.Z. Y. Liu, W. D. Wang, W. Gao. Predictions of the mechanical properties of hot-rolled C-Mn steels using artificial neural networks. [J]. Materials processing technology, 1996,(57):332~336
26.曾令可,叶卫平.计算机在材料科学与工程中的应用[M].武汉:武汉理工大学出版社,2002:197-261
27.肖红.针织保暖内衣卫生舒适性分区设计[J].针织工业,2005(8):28-31
28.周晴.紧身衣压力舒适性的研究——基于运动背心压力舒适性的评价[D]:[硕士学位论文].西安:西安工程科技学院,2003
29.陆文明.常规针织物热湿舒适性研究[D]:[硕士学位论文].青岛:青岛大学纺织服装学院,2006
30.王府梅.服装面料的性能设计[M].上海:中国纺织出版社,2000,92-93
31.印建荣.内衣结构设计教程[M]中国纺织出版社,2006
32.中泽愈著,袁观洛译.人体与服装[M].中国纺织出版社,2000
33.安哈格著,北京服装学院爱慕人体工学研究所译.内衣,泳装、沙滩装及休闲服纸样设计[M].中国纺织出版社,2001
34.桂继烈.针织服装设计基础[M].中国纺织出版社,2002
35.刘静伟.服装材料试验教程[M].中国纺织出版社,2000
36.孔令剑.织物透湿性能测试与MATLAB应用研究[J].湖南工程学院报,2005(2):83-87
37.刘冬云.高运动性针织服装纸样的探讨[J].针织工业,2004(12):61-62
38.孔令剑.织物透湿性能测试与MATLAB应用研究[J].湖南工程学院学报,2005(2):83-87
39.王秀芝.弹性针织运动胸衣的纸样处理[J].德州学院学报,2007(8):68-70
40.王宏付.服装的透气、透湿性与穿着舒适性关系研究[J].江苏纺织,2004(2):44-46
41.王威.紧身服装的舒适性研究[J].上海纺织科技,2002(4):52-54
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