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of 9
pro vyhledávání: '"Gopych, P. M."'
Autor:
Gopych, Petro M.
Publikováno v:
Problemy Programmirovaniya (Programming Problems, Kyiv, Ukraine), 2004, no. 2-3, pp. 473-479.
A ternary/binary data coding algorithm and conditions under which Hopfield networks implement optimal convolutional or Hamming decoding algorithms has been described. Using the coding/decoding approach (an optimal Binary Signal Detection Theory, BSDT
Externí odkaz:
http://arxiv.org/abs/cs/0309036
Autor:
Gopych, Petro M.
Publikováno v:
International Journal on Information Theories & Applications, 2003, vol. 10, no.2, pp.189-197.
On the basis of convolutional (Hamming) version of recent Neural Network Assembly Memory Model (NNAMM) for intact two-layer autoassociative Hopfield network optimal receiver operating characteristics (ROCs) have been derived analytically. A method of
Externí odkaz:
http://arxiv.org/abs/cs/0309007
Autor:
Gopych, Petro M.
It has been shown that a neural network model recently proposed to describe basic memory performance is based on a ternary/binary coding/decoding algorithm which leads to a new neural network assembly memory model (NNAMM) providing maximum-likelihood
Externí odkaz:
http://arxiv.org/abs/cs/0303017
Autor:
Gopych, Petro M.
Publikováno v:
Kharkiv University Bulletin, Series Psychology, 2002, no.550(part 1), p.54-58
The first quantitative neural network model of feelings and emotions is proposed on the base of available data on their neuroscience and evolutionary biology nature, and on a neural network human memory model which admits distinct description of cons
Externí odkaz:
http://arxiv.org/abs/cs/0206008
Autor:
Gopych, Petro M.
On the base of recently proposed three-stage quantitative neural network model of the tip-of-the-tongue (TOT) phenomenon a possibility to occur of TOT states coursed by neural network interneuron links' disruption has been studied. Using a numerical
Externí odkaz:
http://arxiv.org/abs/cs/0204008
Autor:
Gopych, Petro M.
A new three-stage computer artificial neural network model of the tip-of-the-tongue phenomenon is shortly described, and its stochastic nature was demonstrated. A way to calculate strength and appearance probability of tip-of-the-tongue states, neura
Externí odkaz:
http://arxiv.org/abs/cs/0107012
Autor:
Gopych, Petro M.
A new three-stage computer artificial neural network model of the tip-of-the-tongue phenomenon is proposed. Each word's node is build from some interconnected learned auto-associative two-layer neural networks each of which represents separate word's
Externí odkaz:
http://arxiv.org/abs/cs/0103002
Publikováno v:
Atomic Energy; September 1993, Vol. 75 Issue: 3 p738-740, 3p
Autor:
Gopych, P. M., Zalyubovskii, I. I., Kizim, P. S., Sorokin, V. I., Sotnikov, V. V., Fomin, E. A.
Publikováno v:
Atomic Energy; January 1993, Vol. 74 Issue: 1 p77-78, 2p