The Method of Identifying Weights of Artificial Neural Networks with Radial Basis Functions Based on Multiple-Set Approach

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dc.contributor.advisorКушнір, Оксана
dc.contributor.authorSavka, Nadya
dc.contributor.authorNemish, Vasyl
dc.contributor.authorKushnir, Oksana
dc.contributor.authorСавка, Надія
dc.contributor.authorНеміш, Василь
dc.date.accessioned2016-11-17T12:51:31Z
dc.date.available2016-11-17T12:51:31Z
dc.date.issued2012
dc.description.abstractThe analysis methods of identification of artificial neural networks (ANN) with radial basis functions. Characterizes the main drawback of the method of identification based on quadratic criteria. The method of identifying weights ANN with RBF based on set-theoretic approach.uk_UA
dc.identifier.citationSavka, N. The Method of Identifying Weights of Artificial Neural Networks with Radial Basis Functions Based on Multiple-Set Approach / Nadya Savka, Vasyl Nemish, Oksana Kushnir // Modern problems of radio engineering, telecommunications and computer science : proceedings othe ХIth international conference TCSET, 2012. – Lviv-Slavske, 2012. – P. 392.uk_UA
dc.identifier.urihttp://dspace.tneu.edu.ua/handle/316497/4947
dc.subjectАrtificial neural networksuk_UA
dc.subjectRadial basis functionsuk_UA
dc.subjectMethod of identificationuk_UA
dc.subjectMultiple-set approachuk_UA
dc.titleThe Method of Identifying Weights of Artificial Neural Networks with Radial Basis Functions Based on Multiple-Set Approachuk_UA
dc.typeThesisuk_UA

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