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Matematicheskoe modelirovanie, 1992, Volume 4, Number 10, Pages 101–110 (Mi mm2124)  
Computational methods and algorithms

Neural nets for correlated and non-binary patterns: feedback from current pattern to neuron response and threshold

B. M. Balter, I. V. Popova

Space Research Institute
Full-text PDF (850 kB)
Abstract: We analyse the mechanism by which Hopfield algorithm suppresses all patterns but one. We modify it by adapting the neuron response function and the threshold in each node to the global current pattern and to overall correlation among memory patterns. Such feedback lets the method recognize strongly correlated memories and operate on non-binary neurons (that is, those with more states than just 0,1).
Received: 25.09.1992
Bibliographic databases:
Language: Russian
Citation: B. M. Balter, I. V. Popova, “Neural nets for correlated and non-binary patterns: feedback from current pattern to neuron response and threshold”, Matem. Mod., 4:10 (1992), 101–110
Citation in format AMSBIB
\Bibitem{BalPop92}
\by B.~M.~Balter, I.~V.~Popova
\paper Neural nets for correlated and non-binary patterns: feedback from current pattern to neuron response and threshold
\jour Matem. Mod.
\yr 1992
\vol 4
\issue 10
\pages 101--110
\mathnet{http://mi.mathnet.ru/mm2124}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1219034}
\zmath{https://zbmath.org/?q=an:1189.68092}
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    		Математическое моделирование
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