摘要
采用Kohonen自组织神经网络客观评定织物折皱等级,依据自组织神经网络的基本原理,结合自组织神经网络结构实现神经元的竞争和训练,并将结果输出到相应的分类模式中,以此确定试样的折皱等级,最后采用26种真实织物验证该方法的可行性。
In this paper, Kohonen self-organizing neural network is used to assess fabric wrinkle grade. Based on the basic principle of self-organizing neural network, the structure of self-organizing neural network is utilized to realize the competition and training of neural cell, and the output result is distributed to the corresponding classification pattern in order to evaluate the fabric wrinkle grade. 26 kinds of real fabric are used to verify the feasibility of this method.
出处
《江南大学学报（自然科学版）》
CAS
2003年第3期274-278,共5页
Joural of Jiangnan University (Natural Science Edition)
基金
高等学校博士学科点专项科研基金(OD03)
关键词
自组织神经网络
模式识别
折皱等级
self-organizing neural network
pattern recognition
wrinkle grade
