Neural network synthesis dealing with classification problem

Vařacha, Pavel

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	978-1-61804-004-6
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