文献类型：期刊文献

中文题名：基于SOM神经网络的医疗诊断专家系统研究

英文题名：The Medical Diagnosis Expert System of SOM Neural Network

作者：于子翊[1];茹蓓[1]

第一作者：于子翊

机构：[1]首都师范大学,信息工程学院,北京,100037 平原大学,信息工程学院,河南,新乡,453000

第一机构：新乡学院计算机与信息工程学院

年份：2005

卷号：0

期号：5

起止页码：29-31

中文期刊名：新乡师范高等专科学校学报

外文期刊名：Journal of Xinxiang Teachers College

语种：中文

中文关键词：自组织特征映射;神经网络;专家系统;神经元;权值

外文关键词：self-organizing feature map; neural network;expert system;nerve center;weight

摘要：研究了自组织特征映射(SOM)神经网络的结构及学习算法,提出了利用SOM神经网络对输入样本的'聚类'作用,实现对病人疾病的分类,并依此作为诊断的主要依据.
With the improvement of the medical level, the means adopted of medical diagnosis is more abundant , with designing the medical diagnosis system we should fully consider various kinds of multimedia data . This paper has studied the structure of the neural network and learning algorithm of SOM, have proposed utilizing SOM neural network to realize the clustering of input sample, the classification to patient's disease ,and make this as the main basis to diagnose.