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基于神经网络集成的舌苔分类方法
引用本文:刘关松,徐建国,高敦岳.基于神经网络集成的舌苔分类方法[J].计算机工程,2003,29(14):100-102.
作者姓名:刘关松  徐建国  高敦岳
作者单位:1. 华东理工大学信息科学与工程学院,上海,200237
2. 上海中医药大学,上海,200032
基金项目:上海市高等学校科学技术发展基金项目(2000C10)
摘    要:提出一种基于神经网络集成的舌苔自动分类方法。该方法把经单独训练的具有一定差异度的单个BP神经网络加以集成,构成舌苔分类器。试验结果表明,该分类器比现有的舌苔分类方法识别率更高、分类更细、更符合中医舌诊要求。

关 键 词:BP神经网络  神经网络集成  舌苔  分类
文章编号:1000-3428(2003)14-0100-03
修稿时间:2002年8月19日

A Method for Tongue Coat Classification Based on Neural Network Integration
LIU Guansong,XU Jianguo,GAO Dunyue.A Method for Tongue Coat Classification Based on Neural Network Integration[J].Computer Engineering,2003,29(14):100-102.
Authors:LIU Guansong  XU Jianguo  GAO Dunyue
Affiliation:LIU Guansong1,XU Jianguo2,GAO Dunyue1
Abstract:This paper presents a method for tongue coat automatic classification based on the neural network integration. In the method, those single BP neural networks which have been trained solely are integrated averagely in order to build up the tongue coat classifier. Experimental results show that the classifier had better performance than the others proposed previously did, for instance, it can classify tongue coats more detailedly and more accurately. So, it meets better the needs of the traditional Chinese medicine tongue diagnosis.
Keywords:BP neural network  Neural network integration  Tongue coat  Classification
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