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.
出处
《新乡师范高等专科学校学报》
2005年第5期29-31,共3页
Journal of Xinxiang Teachers College
关键词
自组织特征映射
神经网络
专家系统
神经元
权值
self-organizing feature map
neural network
expert system
nerve center
weight
作者简介
于子翊(1978-),女,河北磁州人,首都师范大学信息工程学院硕士研究生,研究方向:人工智能,模式识别,神经网络.
