an introduction to neural networks - kevin gurney

an introduction to neural networks - kevin gurney

ID:14862028

大小:3.65 MB

页数:148页

时间:2018-07-30

an introduction to neural networks - kevin gurney_第1页
an introduction to neural networks - kevin gurney_第2页
an introduction to neural networks - kevin gurney_第3页
an introduction to neural networks - kevin gurney_第4页
an introduction to neural networks - kevin gurney_第5页
资源描述:

《an introduction to neural networks - kevin gurney》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库

1、AnintroductiontoneuralnetworksAnintroductiontoneuralnetworksKevinGurneyUniversityofSheffieldLondonandNewYork©KevinGurney1997ThisbookiscopyrightundertheBerneConvention.Noreproductionwithoutpermission.Allrightsreserved.Firstpublishedin1997byUCLPressReprinted1999UCLPressLimited11NewFetterLaneLondo

2、nEC4P4EEUCLPressLimitedisanimprintoftheTaylor&FrancisGroupThiseditionpublishedintheTaylor&Francise-Library,2005.“TopurchaseyourowncopyofthisoranyofTaylor&FrancisorRoutledge’scollectionofthousandsofeBookspleasegotowww.eBookstore.tandf.co.uk.”ThenameofUniversityCollegeLondon(UCL)isaregisteredtrad

3、emarkusedbyUCLPresswiththeconsentoftheowner.BritishLibraryCataloguinginPublicationDataAcataloguerecordforthisbookisavailablefromtheBritishLibrary.ISBN0-203-45151-1Mastere-bookISBNISBN0-203-45874-5(AdobeeReaderFormat)ISBNs:1-85728-673-1(PrintEdition)HB1-85728-503-4(PrintEdition)PBContentsPreface

4、vii1Neuralnetworks—anoverview11.1Whatareneuralnetworks?11.2Whystudyneuralnetworks?31.3Summary41.4Notes42Realandartificialneurons52.1Realneurons:areview52.2Artificialneurons:theTLU82.3Resiliencetonoiseandhardwarefailure102.4Non-binarysignalcommunication112.5Introducingtime122.6Summary142.7Notes1

5、53TLUs,linearseparabilityandvectors163.1GeometricinterpretationofTLUaction163.2Vectors183.3TLUsandlinearseparabilityrevisited223.4Summary233.5Notes244TrainingTLUs:theperceptronrule254.1Trainingnetworks254.2Trainingthethresholdasaweight254.3Adjustingtheweightvector264.4Theperceptron284.5Multiple

6、nodesandlayers294.6Somepracticalmatters314.7Summary334.8Notes335Thedeltarule345.1Findingtheminimumofafunction:gradientdescent34v5.2Gradientdescentonanerror365.3Thedeltarule375.4Watchingthedeltaruleatwork395.5Summary406Multilayernetsandbackpropagation416.1Trainingrulesformultilayernets416.2Theba

7、ckpropagationalgorithm426.3Localversusglobalminima436.4Thestoppingcriterion446.5Speedinguplearning:themomentumterm446.6Morecomplexnets456.7Theactionofwell-trainednets466.8Takingstock506.9Generalizationandovertraining506.10Fosterin

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。