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dc.contributor.authorEfimov, D. V.ru
dc.contributor.authorZakharenkova, T. A.ru
dc.contributor.authorTerekhov, V. A.ru
dc.contributor.authorTyukin, I. Y.ru
dc.coverage.spatialBrestru
dc.date.accessioned2021-07-27T08:09:25Z
dc.date.available2021-07-27T08:09:25Z
dc.date.issued1999
dc.identifier.citationDynamic Algorithms of Multilayered Neural Networks Training in Generalized Training Plant / D. V. Efimov [and etc.] // International Conference on Neural Networks and Artificial Intelligence ICNNAI'99 = Международная конференция по нейронным сетям и искусственному интеллекту ICNNAI'99 : Proceedings, Brest, Belarus, 12–15 October 1999 / Brest Polytechnic Institute, Department of Computers and Laboratory of Artificial Neural Networks, Belarus Special Interest Group of International Neural NetWork Society, International Neural NetWork Society, Belarusian State University of Informatics and Radioelectronics (Belarus), Belarusian Academy of Sciences, Institute of Engineering Cybemetics (Belarus), Universidad Politechnica de Valencia (Spain), Institute of Computer Information Technologies (Ukraine, Ternopil) ; ed. V. Golovko. – Brest : BPI, 1999. – P. 93–101.ru
dc.identifier.urihttps://rep.bstu.by/handle/data/20640
dc.description.abstractThe new modifications of multilayered neurak networks training algorithms in a generalized training plant structure are introduced. The first modification for algorithm "on error backpropagation algorithm through time" is introduced and its sufficient conditions of a training procedure stability are obtained. Other modification for speed gradient algorithm of an error backpropagation is obtained, where measurement state vector in a training procedure instead of a parametrical model of plant is used.ru
dc.language.isoenru
dc.publisherBPIru
dc.titleDynamic Algorithms of Multilayered Neural Networks Training in Generalized Training Plantru
dc.typeНаучный доклад (Working Paper)ru


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