[Untitled]

Autor: B. V. Kryzhanovskii, A. B. Fonarev, V. N. Koshelev

Publikováno v: Problems of Information Transmission. 37:155-164

We study the recognition capability of a Hopfield network, i.e., a neural network where interaction of nodes is determined by the Hebb transform. We present a formally rigorous derivation of an upper bound on the error probability for recognition of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::371fabc0f203751868cd9a87121a4fa0
https://doi.org/10.1023/a:1010474125796

Study of deep subcritical electronuclear systems and feasibility of their application for energy production and radioactive waste transmutation

Autor: Jindrich. Adam, Baldin, Anton Alexandrovich, N. Vladimirova, N. A. Gundorin, B. Guskov, V. Dyachenko, A.F. Elishev, M. Kadykov, E. Kostyuhov, V. Kransov, I. Marin, V. S. Pronskikh, Rogov, Anatoly, A. A. Solnyshkin, V. I. Stegailov, S. G. Stetsenko, S. Tyutyunikov, Furman, Walter, Tsoupko-Sitnikov, Vsevolod Mikhailovich, E. M. Belov, M. Galanin, V. Kolesnikov, N. Ryazansky, S. Solodchenkova, B. Fonarev, V. Chilap, A. Chinenov, Baldina, Elina, A. Balabekyan, Karapetyan, Gayane, I. Zhuk, S. V. Korneev, A.S. Potapenko, A. Safronova, V. N. Sorokin, V. V. Sorokin, A.M. Khilmanovich, B. Marcynkevich, Korbut, Tamara, Ch. Stoyanov, L. Kostov, Zhivkov, Petar, O. Yordanov, S Batzev, Ch. Protohristov, A. Kugler, V. Wagner, Majerle, Mitja, Krása, Antonín, O. Svoboda, Katovsky, Karel, O. Schasny, A. Tuleushev, Gudima, Konstantin, M. I. Baznat, Ravdandorj Togoo, D. Otgonsuren, Ts Tumendelger, Ts. Damdinsuren, M. Shuta, Elzbieta Strugalska-Gola, Stanisław Kilim, M. Bielewicz, A. Wojeciechowsky, V. A. Voronko, Sotnikov, Vladimir, V.V. Sidorenko, Haysak, Ivan, Hashemi-Nezhad, Reza, Y. Borger, W. Westmeier, H. Robotham, W. Ensinger, Severin, Daniel, M. Rossbah, B. Thomauske, Zamani, Masoud, Manolopoulou, Metaxia, S. Stoulos, M. Fragopolou, S. Jokic, Harphool Kumawat, V. Kumar, M. Sharma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8209715bd94817711125fa20afb6e9aa

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

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

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