Kontaktujte nás | Jazyk: čeština English
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 |