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Adaptive control of neural network synthesis

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dc.title Adaptive control of neural network synthesis en
dc.contributor.author Vařacha, Pavel
dc.relation.ispartof MATEC Web of Conferences
dc.identifier.issn 2261-236X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2017
utb.relation.volume 125
dc.event.title 21st International Conference on Circuits, Systems, Communications and Computers, CSCC 2017
dc.event.sdate 2017-07-14
dc.event.edate 2017-07-17
dc.type conferenceObject
dc.language.iso en
dc.publisher EDP Sciences
dc.identifier.doi 10.1051/matecconf/201712502061
dc.relation.uri https://www.matec-conferences.org/articles/matecconf/abs/2017/39/matecconf_cscc2017_02061/matecconf_cscc2017_02061.html
dc.description.abstract Neural Network Synthesis is a method based on based on Analytic Programming and asynchronous implementation of Self-Organising Migration Algorithm. This synthesis woks as an algorithm capable of creating and learning and artificial neural networks as well as optimizing their structures and connections. This paper introduce an idea of adaptive control of Self-Organising Migration Algorithm based on complexity of processed neural network structure. Such approach already recorded several successful application in modelling and simulation. © The Authors, published by EDP Sciences, 2017. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007611
utb.identifier.obdid 43877826
utb.identifier.scopus 2-s2.0-85032872990
utb.source d-scopus
dc.date.accessioned 2018-01-15T16:31:32Z
dc.date.available 2018-01-15T16:31:32Z
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Vařacha, Pavel
utb.fulltext.affiliation Pavel Vařacha 1 1 Tomas Bata University in Zlín, Faculty of Applied Informatics, Zlín, Czech Republic * Corresponding author: varacha@fai.utb.cz
utb.fulltext.dates -
utb.scopus.affiliation Tomas Bata University in Zlín, Faculty of Applied Informatics, Zlín, Czech Republic
utb.fulltext.faculty Faculty of Applied Informatics
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Attribution 4.0 International Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution 4.0 International