纺织学报 ›› 2018, Vol. 39 ›› Issue (07): 116-121.doi: 10.13475/j.fzxb.20170901006

• 服装工程 • 上一篇    下一篇

BP神经网络下的智能化合体服装样板生成

  

  • 收稿日期:2017-09-04 修回日期:2018-03-28 出版日期:2018-07-15 发布日期:2018-07-16

Generation of intelligent fitting pattern based on BP neural network

  • Received:2017-09-04 Revised:2018-03-28 Online:2018-07-15 Published:2018-07-16

摘要:

为快速得出符合顾客体型的服装样板,以男西裤为基准样板,腰围和臀围部位的变更规则为研究对像,格柏CAD 为技术开发平台,依据大量人体数据对样板原有的变更规则进行优化和重建,采用BP 神经网络算法建立了人体腰围、臀围尺寸变化量与相应的变更规则之间的神经网络模型。直接采用数据与数据的匹配归档,最终实现男西裤腰腹部和臀部变更规则的参数化设计,即给定一个腰围、臀围的变化量就得到一个相应的变更规则,通过调用此变更规则就会自动得出符合这个尺寸的样片,初步实现一人一板,提高了服装的合体度,减少了对样板师的依赖性。

关键词: 服装样板,  BP 神经网络, 智能打板, 男西裤, 量身定制

Abstract:

In order to quickly obtain a clothing model fitting the customer's body shape, the men's trousers were used as the reference model, and the rules for changing the waist and hip areas were used as research subjects. Gerber CAD was used as a technology development platform. Based on a large quantity of human body data, the original change rules of the templates were optimized and reconstructed.The BP neural network algorithm was used to establish the waist and hip circumference size changes. By kirectly using the matching of data and tata, the parametric design of men's waistband, abdomen and hip modification rules was realized. In other words, in a given amount of waist and hip circumference, a corresponding change rule can be acquired. By calling the chaneg rule a sample coming in line with the size will the size will be automatically achived, initially realizing one person and one board. The clothing fitting is improved and the dependence on modelers is reduced.

Key words: clothing model, BP neural network, intelligent plate, male tailored trousers, customization

[1] 于辉, 郑瑞平. 基于BP神经网络的MTM中合体服装样板生成研究[J]. 北京服装学院学报, 2013, 33(1): 35-41. YU Hui, ZHENG Ruiping. Research on generation of fitting garment sample in MTM based on BP neural network[J]. Journal of Beijing Institute Of Fashion Technology, 2013,33(1): 35-41. [2] 彭磊. 基于量身定制特体女装原型样板的生成[J]. 纺织学报, 2011, 32(4): 101-105. PENG Lei. Generation of women’s basic patterns of special body forms based on made to measure[J]. Textile Journal, 2011, 32(4): 101-105. [3] 戴建国等. 男装结构设计[M]. 杭州: 浙江大学出版社, 2005: 30-42. DAI Jianguo. Mens structure design[M]. Hangzhou: Zhejiang University Press, 2005: 30-42. [4] 吴经熊, 孔志, 等. 男装版型出样技术[M]. 北京:化学工业出版社, 2012 :104-105. WU Jingxiong, KONG Zhi, etal. Men's plate type sampling technique[M]. Beijing: Chemical Industry Press, 2012:104-105. [5] 罗成汉. 基于MATLAB神经网络工具箱的BP网络实现[J]. 计算机仿真. 2004, 21(5): 109-115. LUO Chenghan. Implementation of BP network based on MATLAB neural network toolbox[J]. Computer Simulation. 2004, 21(5): 109-115. [6] 孙佰清, 潘启树, 冯英浚, 等. 提高BP网络训练速度的研究[J]. 哈尔滨工业大学学报. 2001, 33(4): 439-441. SUN Baiqing, PAN Qishu, FENG Yingjun, etal. Research on improving training speed of BP network[J]. Journal of Harbin Institute of Technology. 2001, 33(4): 439-441. [7] 王吉权. BP神经网络的理论及其在农业机械化中的应用研究[D]. 沈阳:沈阳农业大学. 2011: 20. WANG Jiquan. Researeh on BP Neural Network Theory and Its APPlieation in Agrieultural Meehanization[D]. Shen Yang: Shenyang Agricultural Uinversity: 2011: 20. [8] 王竹君. 基于BP神经网络的西服袖样板尺寸自动生成方法研究[J]. 河南工程学院学报(自然科学版), 2012, 24(4): 22-27. WANG Zhujun. Research on automatic generation method of suit sleeve size based on BP neural network[J]. Journal of Henan Institute of Engineering(Natural Science Edition), 2012, 24(4): 22-27. [9] 谢红, 余言丽. 女衬衫大规模定制系统的成衣参数设计研究[J]. 上海纺织科技, 2012, 40(3): 1-3. XIE Hong, YU Yanli. Research on garment parameter design of blouse mass customization system[J]. Shanghai Textile Technology, 2012, 40(3): 1-3. [10] 蒲春, 孙政顺, 赵世敏. Matlab神经网络工具箱BP算法比较[J].计算机仿真, 2006, 23(5): 142-144. PU Chun, SUN Zhengshun, ZHAO Shimin. Comparison of Matlab neural network toolbox BP algorithm[J]. Computer Simulation, 2006, 23(5): 142-144. [11] 郑爱花. 基于神经网络的服装号型推荐方法研 究[D]. 杭州:浙江理工大学. 2010:43. ZHENG Aihua.Study on size recommending of clothing Methods based on back propagation neural network[D]. Hang Zhou: Zhejiang Sci-Tech University. 2010: 43.

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