Výsledky vyhledávání - "Anatoly B. Fonarev"

Parametrical neural network based on the four-wave mixing process

Autor: Leonid Litinskii, Boris Kryzhanovsky, Anatoly B. Fonarev

Publikováno v: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 502:517-519

We develop a formalism allowing us to describe operating of a network based on the parametrical four-wave mixing process that is well-known in nonlinear optics. It is shown that the storage capacity of such a network is higher compared with the Potts

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8867bc5b64d0040d3d6feb1b57ca660e
https://doi.org/10.1016/s0168-9002(03)00487-x

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Application of Potts-Model Perceptron for Binary Patterns Identification

Autor: Boris Kryzhanovsky, Vladimir Kryzhanovsky, Anatoly B. Fonarev

Publikováno v: Artificial Neural Networks-ICANN 2008 ISBN: 9783540875352
ICANN (1)

We suggest an effective algorithm based on qi¾?state Potts model providing an exponential growth of network storage capacity M~N2S+ 1, where Nis the dimension of the binary patterns and Sis the free parameter of task. The algorithm allows us to iden

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e31e60f2d6e14f18ed2f32224f13abe3
https://doi.org/10.1007/978-3-540-87536-9_57

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Decorrelating parametrical neural network

Autor: Vladimir Kryzhanovsky, Boris Kryzhanovsky, Anatoly B. Fonarev

Publikováno v: Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

We developed a new network architecture, allowing us to increase the recognizing characteristics of the Hopfield model substantively. In addition it is effective when recognizing correlated patterns. It is shown that the storage capacity of the netwo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::11c18f7692d777529580884f59fb99e6
https://doi.org/10.1109/ijcnn.2005.1555993

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Domain Dynamics in Hopfield Model

Autor: M.V. Kryzhanovsky, Boris Kryzhanovsky, B.M. Magomedov, Anatoly B. Fonarev

Publikováno v: IJCNN
Scopus-Elsevier

We propose a domain model of a neural network, in which individual spin-neurons are joined into larger-scale aggregates, the so-called domains. The updating rule in the domain model is defined by analogy with the usual spin dynamics: if the state of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::634a0d498855468ee085dd3d51317b9e
https://doi.org/10.1109/ijcnn.2006.247319

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Vector neural net identifying many strongly distorted and correlated patterns

Autor: Anatoly B. Fonarev, Boris Kryzhanovsky, Andrei L. Mikaelian

Publikováno v: SPIE Proceedings.

We suggest an effective and simple algorithm providing a polynomial storage capacity of a network of the form M ~ N2s+1, where N is the dimension of the stored binary patterns. In this problem the value of the free parameter s is restricted by the in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6ef6bbe77e4191b3f41cb8dd5d077f38
https://doi.org/10.1117/12.572334

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Optical neural network based on the parametrical four-wave mixing process

Autor: Boris Kryzhanovsky, Leonid Litinskii, Anatoly B. Fonarev

Publikováno v: Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

In this paper we develop a formalism allowing us to describe operating of a network based on the parametrical four-wave mixing process that is well-known in nonlinear optics. The recognition power of a network using parametric neurons operating with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f49ba0cf5147111ba43c4b762cebdc58
https://doi.org/10.1109/iconip.2002.1198966

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An Effective Associative Memory for Pattern Recognition

Autor: Boris Kryzhanovsky, Anatoly B. Fonarev, Leonid Litinskii

Publikováno v: Advances in Intelligent Data Analysis V ISBN: 9783540408130
IDA

Neuron models of associative memory provide a new and prospective technology for reliable date storage and patterns recognition. However, even when the patterns are uncorrelated, the efficiency of most known models of associative memory is low. We de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::27efaa71b0fd22ffec0288dd21073c38
https://doi.org/10.1007/978-3-540-45231-7_17

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On the probability of finding local minima in optimization problems

Autor: Bashir Magomedov, Boris Kryzhanovsky, Anatoly B. Fonarev

Publikováno v: Scopus-Elsevier
IJCNN

The standard method in optimization problems consists in a random search of the global minimum: a neuron network relaxes in the nearest local minimum from some randomly chosen initial configuration. This procedure is to be repeated many times in orde

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36448beadcf7a3e043147e3fed91ddf6
http://www.scopus.com/inward/record.url?eid=2-s2.0-40649125310&partnerID=MN8TOARS

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