摘要
用基于神经网的聚类算法对医疗诊断专家系统中的诊断分类进行了研究，具体描述了算法的实现方法，并在计算机上进行了模拟．模拟结果表明，该方法克服了传统上基于规则的专家系统的某些缺陷，在实际运用中是可行的．
An neural network based on the clustering approach is applied to classify medical diagnosis for the medical diagnosis expert system. The realization method is described in detail and simulated on computer. The analytical results show that the method can overcome some shortcomings of the traditional rule-based expert system and is available for practical use.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
1996年第1期60-64,共5页
Journal of Shanghai Jiaotong University
关键词
人工智能
神经网络
专家系统
医疗诊断
artificial intelligence
neural network
expert system
medicl diagnosis
