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Neural Network Synthesis Dealing with classification problem

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dc.title Neural Network Synthesis Dealing with classification problem en
dc.contributor.author Vařacha, Pavel
dc.relation.ispartof Recent Researches in Automatic Control - 13th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS'11
dc.identifier.isbn 9781618040046
dc.date.issued 2011
dc.citation.spage 377
dc.citation.epage 382
dc.event.title 13th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS'11
dc.event.location Lanzarote, Canary Islands
utb.event.state-en Spain
utb.event.state-cs Španělsko
dc.event.sdate 2011-05-27
dc.event.edate 2011-05-29
dc.type conferenceObject
dc.language.iso en
dc.relation.uri http://www.wseas.us/e-library/conferences/2011/Lanzarote/ACMOS/ACMOS-75.pdf
dc.subject Analytic Programming en
dc.subject Classification en
dc.subject Neural Network en
dc.subject Optimization en
dc.subject SOMA en
dc.description.abstract This article deals with Analytic Programming (AP) which was proven to be highly effective tool of Artificial Neural Network (ANN) synthesis and optimization. AP is used here to obtain optimal ANN which satisfactory solve given problem of classification. The algorithm is theoretically explained and successfully used to perform classification upon real life data of breast cancer diagnosis. Very simple but effective ANN is acquired as a result. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004769
utb.identifier.obdid 43867490
utb.identifier.scopus 2-s2.0-82555198108
utb.source d-scopus
dc.date.accessioned 2015-06-04T12:55:22Z
dc.date.available 2015-06-04T12:55:22Z
utb.contributor.internalauthor Vařacha, Pavel
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