| 应用自组织神经网络客观评定织物折皱等级 |
| |
| 引用本文： | 杨晓波. 应用自组织神经网络客观评定织物折皱等级[J]. 计算机应用与软件, 2004, 21(4): 120-122 |
| |
| 作者姓名： | 杨晓波 |
| |
| 作者单位： | 浙江财经学院信息学院,杭州,310012 |
| |
| 摘 要： | 本文采用Kohonen自组织神经网络客观评定织物折皱等级，首先介绍自组织神经网络的基本算法，再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 |
FABRIC WRINKLE GRADE ASSESSMENT BASED ON KOHONEN SELF-ORGANIZING NEURAL NETWORK |
| |
| Yang Xiaobo. FABRIC WRINKLE GRADE ASSESSMENT BASED ON KOHONEN SELF-ORGANIZING NEURAL NETWORK[J]. Computer Applications and Software, 2004, 21(4): 120-122 |
| |
| Authors: | Yang Xiaobo |
| |
| Abstract: | In this paper,Kohonen self organizing neural network is applied to assess fabric wrinkle grade.First,the basic algorithm of self organizing neural network is introduced.Then,the structure of self organizing neural network is combined to realize the competition and training of neural cell,and the output result is attributed to the corresponding classified pattern in order to evaluate the fabric wrinkle grade.Finally,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！ |
|
