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Adaptive individual handling for neural network synthesis

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dc.title Adaptive individual handling for neural network synthesis en
dc.contributor.author Vařacha, Pavel
dc.relation.ispartof MATEC Web of Conferences 20th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016)
dc.identifier.issn 2261-236X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2016
utb.relation.volume 76
dc.event.title 20th International Conference on Circuits, Systems, Communications and Computers (CSCC)
dc.event.location Corfu
utb.event.state-en Greece
utb.event.state-cs Řecko
dc.event.sdate 2016-07-14
dc.event.edate 2016-07-17
dc.type conferenceObject
dc.language.iso en
dc.publisher EDP Sciences
dc.identifier.doi 10.1051/matecconf/20167604035
dc.relation.uri https://www.matec-conferences.org/articles/matecconf/abs/2016/39/matecconf_cscc2016_04035/matecconf_cscc2016_04035.html
dc.subject neural en
dc.subject network en
dc.subject synthesys en
dc.subject SOMA en
dc.subject adaptive en
dc.subject strategy en
dc.subject structural en
dc.subject optimization en
dc.description.abstract Neural Network Synthesis is an algorithm capable of creating and learning and artificial neural networks as well as optimizing their structures and connections. The method is based on Analytic Programming and asynchronous implementation of Self-Organising Migration Algorithm. Such approach already recorded several successful application considering practical casers of modelling and simulation. This results vindicate efforts for its further development. This paper explores a possibility to make it more effective by adaptive individual handling. The main idea is an intelligent control the process based on complexity of processed neural network structure. (C) 2016 The Authors. Published by Elsevier Ltd. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007019
utb.identifier.obdid 43876393
utb.identifier.scopus 2-s2.0-85016123006
utb.identifier.wok 000392332200112
utb.source d-wok
dc.date.accessioned 2017-07-25T08:54:46Z
dc.date.available 2017-07-25T08:54:46Z
dc.description.sponsorship Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [LO1303 (MSMT-7778/2014)]
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Vařacha, Pavel
utb.fulltext.affiliation Pavel Vařacha 1,a 1 Tomas Bata University in Zlín, Faculty of Applied Informatic, nám. T. G. Masaryka 5555 760 01 Zlín, Czech Republic a Corresponding author: varacha@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014).
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Attribution 4.0 International Except where otherwise noted, this item's license is described as Attribution 4.0 International