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人工神经网络技术诊断肺心病的实验研究
引用本文:李家林,王吉,肖志伟,孙佳石,叶建民,冷红霞. 人工神经网络技术诊断肺心病的实验研究[J]. 吉林医药学院学报, 1999, 0(3)
作者姓名:李家林  王吉  肖志伟  孙佳石  叶建民  冷红霞
作者单位:吉林军医学院!吉林市132013
摘    要:笔者利用典型的人工神经(BP)网络反向传播模型构建了一个诊断肺心病的专家子系统.结果该专家子系统利用神经网络获取和表示临床有关数据和资料,较好地解决了自动知识的获取、表示、自学等问题,并对临床资料进行量化处理;实例测试表明,该系统有助于肺心病的早期诊断.

关 键 词:肺心病  人工神经网络  反向传播  知识库

An experimental study on diagnosis of pulmonary heart disease with the aid of artificial nerve net
Li Jialin,Wang Ji,Xiao Zhiwei et al Jilin Military Medical College,Jilin City. An experimental study on diagnosis of pulmonary heart disease with the aid of artificial nerve net[J]. Journal of Jilin Medical College, 1999, 0(3)
Authors:Li Jialin  Wang Ji  Xiao Zhiwei et al Jilin Military Medical College  Jilin City
Affiliation:Li Jialin,Wang Ji,Xiao Zhiwei et al Jilin Military Medical College,Jilin City,132013
Abstract:The writers constructed an expert subsidiary system for diagnosis of pulmonary heart diseases by using a typical reverse propagation model of the artificial nerve net. The system could obtain and indicate clinical relevant data and information , solve the pnoblems such as acquisition, expression and self-study of auto-knowledge,and make quantitative processing of clinical data. Tests showed that this system could be a help to early diagnosis of pulmonary heart diseases.
Keywords:pulmonary heart disease  artificial nerve net  reverse propagation  knowledge bank
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