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News of the Kabardin-Balkar scientific center of RAS, 2015, Issue 6-2, Pages 54–60
(Mi izkab318)
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COMPUTER SCIENCE. CALCULATION EQUIPMENT. MANAGEMENT
Method of pattern recognition based on the Boltzmann machine model
L. A. Gladkova, N. V. Gladkovaa, A. N. Babynina, A. M. Ksalovb a Southern Federal University,
347928, Taganrog, 44, Nekrasovsky Lane
b Institute of Computer Science and Problems of Regional Management of KBSC of the Russian Academy of Sciences,
360000, KBR, Nalchik, 37-a, I. Armand street
Abstract:
This paper proposes an approach to solving the problem of pattern recognition based on neural networks using techniques of "deep learning". Various types of models, such as restricted Boltzmann machine, deep Boltzmann machine are studied. An algorithm for training the models in question is described. Computational experiments were conducted to determine the effectiveness of the approach developed. Advantages and disadvantages of the proposed method are identified.
Keywords:
pattern recognition, artificial neural networks, Boltzmann machine, machine learning.
Received: 03.12.2015
Citation:
L. A. Gladkov, N. V. Gladkova, A. N. Babynin, A. M. Ksalov, “Method of pattern recognition based on the Boltzmann machine model”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 54–60
Linking options:
https://www.mathnet.ru/eng/izkab318 https://www.mathnet.ru/eng/izkab/y2015/i62/p54
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Abstract page: | 109 | Full-text PDF : | 415 | References: | 13 |
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