| 利用减法聚类的自适应模糊神经网络客观评定织物起皱等级 |
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| 引用本文： | 杨晓波,黄秀宝. 利用减法聚类的自适应模糊神经网络客观评定织物起皱等级[J]. 计算机应用与软件, 2004, 21(2): 74-75,101 |
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| 作者姓名： | 杨晓波 黄秀宝 |
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| 作者单位： | 浙江财经学院信息学院,杭州,310012;东华大学纺织学院,上海,200051 |
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| 摘 要： | 本文提出一种基于减法聚类的自适应模糊神经网络，用于织物起皱等级评定。首先利用减法聚类方法确定模糊神经网络的结构，再结合模糊推理系统进行模式识别，并详细介绍其基本原理和学习算法，最后引入四种起皱特征参数对真实织物进行验证，实验表明该方法是有效、可行的。
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| 关 键 词： | 自适应模糊神经网络 减法聚类 模式识别 |
ASSESSING THE FABRIC WRINKLING BY SUBTRACTIVE CLUSTERING BASED ON ADAPTIVE NETWORK FUZZY INFERENCE SYSTEMS |
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| Yang Xiaobo. ASSESSING THE FABRIC WRINKLING BY SUBTRACTIVE CLUSTERING BASED ON ADAPTIVE NETWORK FUZZY INFERENCE SYSTEMS[J]. Computer Applications and Software, 2004, 21(2): 74-75,101 |
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| Authors: | Yang Xiaobo |
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| Abstract: | A new method of subtractive clustering based on adaptive n et work fuzzy inference systems to assess the fabric wrinking is proposed in this p aper.Fir stly,subtractive clustering algorithm is used to confirm the structure of fuzzy neural network,and then fuzzy inference systems are combined to process the patt ern recognition.The principle and studying algorithm are introduced in detail.Fi nally,the four kinds of fabric wrinkle feature parameters are introduced to veri fy the true fabric.Experimental results show this method is efficient and feasib le. |
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| Keywords: | Adaptive network fuzzy inference systemsSubtractive clus teringPattern recognition |
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