一种多层神经网络的隐单元修剪学习方法

H. Takechi, K. Murakami
{"title":"一种多层神经网络的隐单元修剪学习方法","authors":"H. Takechi, K. Murakami","doi":"10.1109/SICE.1995.526961","DOIUrl":null,"url":null,"abstract":"This paper presents a learning method of multilayer neural networks for pruning hidden units. In this method, the learning rates of each unit are adaptively changed to unbalance the influence of the hidden units on the network. With this method, useless hidden units are easily found and networks with small number of hidden units are constructed.","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A learning method of multilayer neural networks for pruning hidden units\",\"authors\":\"H. Takechi, K. Murakami\",\"doi\":\"10.1109/SICE.1995.526961\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a learning method of multilayer neural networks for pruning hidden units. In this method, the learning rates of each unit are adaptively changed to unbalance the influence of the hidden units on the network. With this method, useless hidden units are easily found and networks with small number of hidden units are constructed.\",\"PeriodicalId\":344374,\"journal\":{\"name\":\"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SICE.1995.526961\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICE.1995.526961","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

提出了一种多层神经网络的隐单元修剪学习方法。该方法自适应地改变每个单元的学习率,以平衡隐藏单元对网络的影响。利用该方法可以很容易地找到无用的隐藏单元,并构造具有少量隐藏单元的网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
A learning method of multilayer neural networks for pruning hidden units
This paper presents a learning method of multilayer neural networks for pruning hidden units. In this method, the learning rates of each unit are adaptively changed to unbalance the influence of the hidden units on the network. With this method, useless hidden units are easily found and networks with small number of hidden units are constructed.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The poles placement for linear multivariable system using the single feedback controller Range finding with simultaneous projection of modulated patterns The linear-quadratic-Gaussian control design using an improved product formula of Walsh functions Idea generation supporting system based on FISM/fuzzy ETS-7, a rendezvous docking and space robot technology experiment satellite result of the engineering model development work
×
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