摘要
给出了用对照组和肝性脑病组的连续反应时问（ＣＲＴ）特征值构成模糊隶属度函数，用它对脑ＣＲＴ数据预处理，然后用ＢＰ神经网络分类、诊断脑功能障碍。解决了样本固有的模糊性扩大样本和输入数据分散时ＢＰ网络训练精度差、速度低的问题。
Membership functions.formed with the characteristic values obtained by applying the continuous reaction time (CRT) theory from controls and heptic encephalopthy and proposedin this paper.whith these membership functions,the CRT data to be diagnosed are calculated in advance,and then discriminated by BP meural network to differentiate patients with or without braindysfunction.The troubles of low accuracy and efficiency,encountered in training BP network withfuzzy samples.scattered data and extended samples,are solved.
出处
《重庆大学学报（自然科学版）》
CAS
CSCD
1996年第3期44-49,共6页
Journal of Chongqing University
基金
重庆大学青年科学基金
关键词
模糊隶属度
神经网络
脑功能障碍
CRT
诊断
s:fuzzy membership function
artificial neural network
continuous reaction time
brain-dysfunction
