Introduction to artificial neural networks

Kristof Van Laerhoven, kristof mis.tu-darmstadt.de, Warren S. McCulloch, W. Pitts
{"title":"Introduction to artificial neural networks","authors":"Kristof Van Laerhoven, kristof mis.tu-darmstadt.de, Warren S. McCulloch, W. Pitts","doi":"10.1109/ETD.1995.403491","DOIUrl":null,"url":null,"abstract":"A general introduction to the subject of artificial neural networks is given and the tenuous relationship of neural networks to the biological neuron structure of the brain is also briefly outlined. The development of artificial neural networks has been marked by periods of considerable optimism and others of disillusionment. A realistic assessment of the potential of artificial neural networks is attempted and some of the unrealistic expectations which has grown around a new and developing subject are dispelled. The study of artificial neural networks originally grew out of a desire to understand the function of the biological brain. This relationship between the biological neuron and the artificial neuron has been of great importance in past research but at the present time it does not appear to be a fruitful field. A basic description of the biological neural network is included so that the debt the artificial neural network owes to the biological neural network may be appreciated.<<ETX>>","PeriodicalId":302763,"journal":{"name":"Proceedings Electronic Technology Directions to the Year 2000","volume":"91 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"154","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Electronic Technology Directions to the Year 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETD.1995.403491","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 154

Abstract

A general introduction to the subject of artificial neural networks is given and the tenuous relationship of neural networks to the biological neuron structure of the brain is also briefly outlined. The development of artificial neural networks has been marked by periods of considerable optimism and others of disillusionment. A realistic assessment of the potential of artificial neural networks is attempted and some of the unrealistic expectations which has grown around a new and developing subject are dispelled. The study of artificial neural networks originally grew out of a desire to understand the function of the biological brain. This relationship between the biological neuron and the artificial neuron has been of great importance in past research but at the present time it does not appear to be a fruitful field. A basic description of the biological neural network is included so that the debt the artificial neural network owes to the biological neural network may be appreciated.<>
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工神经网络导论
本文对人工神经网络这一课题作了概括性的介绍,并简要概述了神经网络与大脑的生物神经元结构之间的微妙关系。人工神经网络的发展经历了相当乐观的时期和幻灭的时期。本文试图对人工神经网络的潜力进行现实的评估,并消除了围绕这一新兴学科产生的一些不切实际的期望。对人工神经网络的研究最初是出于了解生物大脑功能的愿望。生物神经元和人工神经元之间的关系在过去的研究中具有重要的意义,但目前它似乎不是一个富有成果的领域。对生物神经网络的基本描述包括在内,以便人工神经网络对生物神经网络的亏欠可以被理解。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Non-linear adaptive techniques for DOA estimation-a comparative analysis Multiplicative noise cancellation (MNC) in analog VLSI vision sensors Optically powered isolated sensors General fuzzy clustering model and neural networks Evaluation of classification performance for randomly dithered carrier centre frequency in SAR systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1