An Elaluating modeal for Trousers Pattern Design Based on Back-Propagation Neural Network

被引：0
|
作者：
Tuo, Wu [1 ]
Chen, Qian [1 ]
Hua, Hongyan
机构：
[1] Zhong YuanUniv Technol, Zhengzhou 450007, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE OF MANAGEMENT ENGINEERING AND INFORMATION TECHNOLOGY, VOLS 1 AND 2 | 2009年
关键词：
BP neural network; trousers pattern design; function approaches;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Improved back-propagation (BP) neural network is presented to solve the design of trousers pattern. Modified learning rate is introduced in order to increase the learning speed and avoid the local least of network. The BP neural network has been trained by 30 trousers samples and 5 trousers samples for simulation. The experimental results showed that the suggested algorithm is efficient and accuracy.
引用
收藏
页码：909 / 911
页数：3
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