Neural network with variable excitability of input units (NN-VEIN)

S. Sayad, J. Sayad, M. Sayad
{"title":"Neural network with variable excitability of input units (NN-VEIN)","authors":"S. Sayad, J. Sayad, M. Sayad","doi":"10.1109/PACRIM.1991.160810","DOIUrl":null,"url":null,"abstract":"NN-VEIN is a novel approach to the structure of neural networks. In this structure the input units are located in a network of connections. Traditional NN and NN-VEIN are compared. In this structure, input units are located in weighted connections of which the degree may be variable from 0 to N. This degree varies with respect to the quantity of input data. This network is being used to design intelligent systems in medical diagnosis. The input layer in NN-VEIN in comparison with NN is completely different and is a really intelligent process. Clinical diagnosis expert systems created by the use of this network do not need an input pattern to be entered at once, but like an expert physician, any question is based on previous questions.<<ETX>>","PeriodicalId":289986,"journal":{"name":"[1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1991.160810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

NN-VEIN is a novel approach to the structure of neural networks. In this structure the input units are located in a network of connections. Traditional NN and NN-VEIN are compared. In this structure, input units are located in weighted connections of which the degree may be variable from 0 to N. This degree varies with respect to the quantity of input data. This network is being used to design intelligent systems in medical diagnosis. The input layer in NN-VEIN in comparison with NN is completely different and is a really intelligent process. Clinical diagnosis expert systems created by the use of this network do not need an input pattern to be entered at once, but like an expert physician, any question is based on previous questions.<>
输入单元可变兴奋性神经网络(NN-VEIN)
NN-VEIN是一种研究神经网络结构的新方法。在这种结构中,输入单元位于连接网络中。对传统神经网络和NN- vein进行了比较。在这种结构中,输入单元位于加权连接中,其度数可以在0到n之间变化,该度数随输入数据的数量而变化。该网络被用于设计医疗诊断中的智能系统。与NN相比,NN- vein的输入层是完全不同的,是一个真正的智能过程。使用该网络创建的临床诊断专家系统不需要立即输入输入模式,而是像专家医生一样,任何问题都是基于以前的问题
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信