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基于多层前馈型人工神经网络的抑郁症分类系统研究
引用本文:樊晓平,彭展,杨胜跃,胡随瑜,唐凤英,宋炜熙. 基于多层前馈型人工神经网络的抑郁症分类系统研究[J]. 计算机工程与应用, 2004, 40(13): 205-208
作者姓名:樊晓平  彭展  杨胜跃  胡随瑜  唐凤英  宋炜熙
作者单位:中南大学自动化工程研究中心,长沙,410075;中南大学湘雅医院中西医结合研究所,长沙,410008
基金项目:国家“十五”科技攻关项目(编号:2001BA701A22)资助
摘    要:多层前馈型人工神经网络(MLPANN)是应用广泛的一种人工神经网络。该文研究了用于抑郁症中医证候分类的一类MLPANN,设计了一种基于自定义网络结构及其他参数的BP训练算法的分类系统,并首次应用在抑郁症的中医证候分类研究中。该系统利用实际病症样本数据进行了训练和分类,结果表明系统具有很好的分类效果,可以用于指导抑郁症诊断和治疗。

关 键 词:人工神经网络  BP算法  抑郁症  中医证候
文章编号:1002-8331-(2004)13-0205-04

Study on Depression Classified System Based on Multilayer Perceptrons Artificial Neural Network
Fan Xiaoping Peng Zhan Yang Shengyue Hu Suiyu Tang Fengying Song Weixi. Study on Depression Classified System Based on Multilayer Perceptrons Artificial Neural Network[J]. Computer Engineering and Applications, 2004, 40(13): 205-208
Authors:Fan Xiaoping Peng Zhan Yang Shengyue Hu Suiyu Tang Fengying Song Weixi
Affiliation:Fan Xiaoping 1 Peng Zhan 1 Yang Shengyue 1 Hu Suiyu 2 Tang Fengying 2 Song Weixi 21
Abstract:Multilayer perceptrons artificial neural network(MLPANN)is one of the most available ANN.A kind of MLPANN model used in classification of depression by Traditional Chinese Medicine(TCM)syndromes is studied in this paper.A classified system is designed by means of BP algorithm.In this system,the network structure and system parameters can be configured by users.This system is used in the classifying depression with TCM syndromes for the first time.The system is trained with practical TCM syndromes data and the experimental results show that the efficiencies of this system in dealing with guiding the diagnosis and treating depression.
Keywords:artificial neural network  BP algorithm  depression  TCM syndromes
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