| 基于模糊隶属函数和BP网络的脑障碍诊断 |
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| 引用本文： | 曾孝平,周家启.基于模糊隶属函数和BP网络的脑障碍诊断[J].重庆大学学报(自然科学版),1996,19(3):44-49. |
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| 作者姓名： | 曾孝平 周家启 |
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| 作者单位： | 重庆大学电气工程系 |
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| 摘 要： | 给出了用对照组和肝性脑病组的连续反应时间（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。
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| 关 键 词： | 模糊隶属度 神经网络 脑功能障碍 CRT 诊断 |
The Method of Diagnosing Brain-dysfunction Based on Membership Function and BP Neural Network |
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| Zeng Xiaoping,Zou Jiaqi,Zang Anbang.The Method of Diagnosing Brain-dysfunction Based on Membership Function and BP Neural Network[J].Journal of Chongqing University(Natural Science Edition),1996,19(3):44-49. |
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| Authors: | Zeng Xiaoping Zou Jiaqi Zang Anbang |
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| Institution: | Zeng Xiaoping;Zou Jiaqi;Zang Anbang |
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| Abstract: | 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. |
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| Keywords: | s:fuzzy membership function artificial neural network continuous reaction time brain-dysfunction |
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