Intelligent Clothing Design Approach Based on BP Neural Network

Z. Wen
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引用次数: 1

Abstract

According to pattern design of western-style clothes, the related body data of 3D human scanner acquisition is adpoted to establish BP neural network model for intelligent design of clothin gdesign. The selection, input variable and data preprocessing of sample data in the model are regulated, and the number of hidden layer neurons in the model is determined through experiments. By training and simulation prediction it is found, according to analysis on sample garment trial and try on, BP neural network based intelligent western-style clothes design scheme is feasible and effective.
基于BP神经网络的智能服装设计方法
根据西式服装的图案设计,采用三维人体扫描仪采集的相关人体数据,建立服装设计智能设计的BP神经网络模型。调节模型中样本数据的选择、输入变量和数据预处理,并通过实验确定模型中隐藏层神经元的个数。通过训练和仿真预测,通过对服装样品的试穿分析,发现基于BP神经网络的智能西服设计方案是可行和有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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