Zobrazeno 1 - 7
of 7
pro vyhledávání: '"B. V. Kryzhanovskii"'
Publikováno v:
Doklady Physics. 57:331-334
Publikováno v:
Doklady Mathematics. 75:310-313
Publikováno v:
Optical Memory and Neural Networks. 16:31-39
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
Autor:
B. V. Kryzhanovskii, L. B. Litinskii
Publikováno v:
Automation and Remote Control. 64:1782-1793
The Hopfield model effectively stores a comparatively small number of initial patterns, about 15% of the size of the neural network. A greater value can be attained only in the Potts-glass associative memory model, in which neurons may exist in more
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
Autor:
A. D. Gazazyan, B. V. Kryzhanovskii
Publikováno v:
Optics and Spectroscopy. 88:554-559
The fluorescence spectrum of a two-level atom excited by the field, whose state represents a superposition of the coherent states, is investigated. It is shown that to each mode of the quantum-statistical distribution of the incident field, a spectra
Publikováno v:
Problems of Information Transmission; Apr2001, Vol. 37 Issue 2, p155-164, 10p