首页 | 本学科首页   官方微博 | 高级检索  
     

自组织学习联想神经树在生物样品分析中的应用
引用本文:蔡煜东,陈波, 陆文聪. 自组织学习联想神经树在生物样品分析中的应用[J]. 生物医学工程研究, 1995, 0(1)
作者姓名:蔡煜东  陈波   陆文聪
作者单位:中国科学院上海生物工程研究中心,上海大学化学系
摘    要:本文把自组织学习联想神经树运用于生物样品─—冠心病患者和对照组(健康人)血液中微量金属元素的综合分析,预报成功率达100%。结果表明,该方法性能良好,可作为生物样品分析与疾病诊断的一种有效的辅助手段。

关 键 词:冠心病,人工神经网络,自组织学习联想神经树

ANALYSIS OF BIOLOGCAL SAMPLES BY NEURAL TREE MODEL OF LEARNING AND ASSOCIATION BY SELF-ORGANIZATION
Cai Yudong. ANALYSIS OF BIOLOGCAL SAMPLES BY NEURAL TREE MODEL OF LEARNING AND ASSOCIATION BY SELF-ORGANIZATION[J]. Journal Of Blomedical Englneerlng Research, 1995, 0(1)
Authors:Cai Yudong
Abstract:The contents of metal elements in the blood of patients of the coronaryheart diseases and the normal persons was analysed by the neural tree model of learning andassociation by self-organization. The results show that the neural networks model is goodand therefore the model might be referred as an effective technique for the analysis of biolog-ical samples and diseases diagnosis.
Keywords:Coronary heart diseases Artificial neural network Neural tree modelof learning and association by self-organization
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号