| Kohonen自组织神经网络在织物折皱等级评定中的应用 |
| |
| 引用本文： | 杨晓波. Kohonen自组织神经网络在织物折皱等级评定中的应用[J]. 江南大学学报(自然科学版), 2003, 2(3): 274-278 |
| |
| 作者姓名： | 杨晓波 |
| |
| 作者单位： | 浙江财经学院,信息学院,浙江,杭州,310012 |
| |
| 基金项目： | 高等学校博士学科点专项科研基金(OD03) |
| |
| 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。
|
| 关 键 词： | 自组织神经网络 模式识别 折皱等级 |
| 文章编号： | 1671-7147(2003)03-0274-05 |
| 修稿时间： | 2003-01-02 |
Fabric Wrinkle Grade Assessment Based on Kohonen Self-Organizing Neural Network |
| |
| YANG Xiao-bo. Fabric Wrinkle Grade Assessment Based on Kohonen Self-Organizing Neural Network[J]. Journal of Southern Yangtze University:Natural Science Edition, 2003, 2(3): 274-278 |
| |
| Authors: | YANG Xiao-bo |
| |
| Abstract: | 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. |
| |
| Keywords: | self-organizing neural network pattern recognition wrinkle grade |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
