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pubmed-article:18252589rdf:typepubmed:Citationlld:pubmed
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pubmed-article:18252589pubmed:issue4lld:pubmed
pubmed-article:18252589pubmed:dateCreated2008-2-6lld:pubmed
pubmed-article:18252589pubmed:abstractTextIn this paper, a geometrical representation of McCulloch-Pitts neural model is presented. From the representation, a clear visual picture and interpretation of the model can be seen. Two interesting applications based on the interpretation are discussed. They are 1) a new design principle of feedforward neural networks and 2) a new proof of mapping abilities of three-layer feedforward neural networks.lld:pubmed
pubmed-article:18252589pubmed:languageenglld:pubmed
pubmed-article:18252589pubmed:journalhttp://linkedlifedata.com/r...lld:pubmed
pubmed-article:18252589pubmed:statusPubMed-not-MEDLINElld:pubmed
pubmed-article:18252589pubmed:issn1045-9227lld:pubmed
pubmed-article:18252589pubmed:authorpubmed-author:ZhangLLlld:pubmed
pubmed-article:18252589pubmed:authorpubmed-author:ZhangBBlld:pubmed
pubmed-article:18252589pubmed:issnTypePrintlld:pubmed
pubmed-article:18252589pubmed:volume10lld:pubmed
pubmed-article:18252589pubmed:ownerNLMlld:pubmed
pubmed-article:18252589pubmed:authorsCompleteYlld:pubmed
pubmed-article:18252589pubmed:pagination925-9lld:pubmed
pubmed-article:18252589pubmed:year1999lld:pubmed
pubmed-article:18252589pubmed:articleTitleA geometrical representation of McCulloch-Pitts neural model and its applications.lld:pubmed
pubmed-article:18252589pubmed:affiliationState Key Lab of Intelligent Technology and Systems, Artificial Intelligence Institute, Anhui University, Anhui, China.lld:pubmed
pubmed-article:18252589pubmed:publicationTypeJournal Articlelld:pubmed
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