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Matematicheskaya Biologiya i Bioinformatika, 2013, Volume 8, Issue 1, Pages 12–20 (Mi mbb132)  
Mathematical Modeling

About the Mechanism of Neural Network as Adaptive System Training

V. A. Lorentsa, V. L. Gavrikovb, R. G. Khleboprosc

a FGAOU VPO Siberian Federal University
b V. P. Astafev Krasnoyarsk State Pedagogical University
c Krasnoyarsk Scientific Center of the Russian Academy of Sciences
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Abstract: The dynamics of error learning neural networks, obtained under identical conditions of the problem being solved and the parameters of networks, but with different initial conditions of the network are analyzed. And also a possible theoretical model of a single mechanism for training of artificial and natural adaptive systems is attempted to offer.
Key words: neural networks, learning, training error.
Received 22.10.2012, Published 07.02.2013
Document Type: Article
UDC: 519.7, 612.8
Language: Russian
Citation: V. A. Lorents, V. L. Gavrikov, R. G. Khlebopros, “About the Mechanism of Neural Network as Adaptive System Training”, Mat. Biolog. Bioinform., 8:1 (2013), 12–20
Citation in format AMSBIB
\Bibitem{LorGavKhl13}
\by V.~A.~Lorents, V.~L.~Gavrikov, R.~G.~Khlebopros
\paper About the Mechanism of Neural Network as Adaptive System Training
\jour Mat. Biolog. Bioinform.
\yr 2013
\vol 8
\issue 1
\pages 12--20
\mathnet{http://mi.mathnet.ru/mbb132}
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