Synthesis and Optimization of Neural Network Parameters for Control Non-linear Objects

Паламар, Михайло Іванович; Стрембіцький, Михайло Олексійович; Aleksander, Marek; Pohrebennyk, Volodymyr

Please use this identifier to cite or link to this item: http://elartu.tntu.edu.ua/handle/123456789/4797

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DC Field	Value	Language
dc.contributor.author	Паламар, Михайло Іванович	-
dc.contributor.author	Стрембіцький, Михайло Олексійович	-
dc.contributor.author	Aleksander, Marek	-
dc.contributor.author	Pohrebennyk, Volodymyr	-
dc.date.accessioned	2014-10-01T20:20:12Z	-
dc.date.available	2014-10-01T20:20:12Z	-
dc.date.issued	2014	-
dc.identifier.citation	Mykhaylo Palamar, Marek Aleksander, Volodymyr Pohrebennyk, Mykhaylo Strembickyy Synthesis and Optimization of Neural Network Parameters for Control Non-linear Objects // Przegląd Elektrotechniczny ISSN 0033-2097, R. 90 Nr 5/2014	uk
dc.identifier.issn	0033-2097	-
dc.identifier.uri	http://elartu.tntu.edu.ua/handle/123456789/4797	-
dc.description.abstract	The possibility of using artificial neural network (ANN) for the construction of precise control of dynamic objects with variable parameters is considered. Approach to the synthesis of topology and learning algorithm based on recurrent Elman’s ANN with auxiliary feedback is suggested. The results of modeling of ANN operation in the system of control guided by large-sized antennas are given	uk
dc.language.iso	en	uk
dc.publisher	Przegląd Elektrotechniczny	uk
dc.subject	antenna's rotating device	uk
dc.subject	pointing error	uk
dc.subject	neural network	uk
dc.subject	Hexapod	uk
dc.title	Synthesis and Optimization of Neural Network Parameters for Control Non-linear Objects	uk
dc.type	Article	uk
Appears in Collections:	Наукові публікації працівників кафедри приладів і контрольно-вимірювальних систем

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