350 rub
Journal Neurocomputers №6 for 2018 г.
Article in number:
Hardware implementation of a neuron-like network with the ability to recognize noisy pattern
Type of article: scientific article
UDC: 004.383.8.032.26; 165.24
Keywords: neuron-like network autonomous adaptive control (AAU) programmable logic integrated circuits (PLIC) computational process parallelism image formation and recognition subsystem (IFR) knowledge base (KB) emotion apparatus formal neuron.
Authors:

I.A. Mishustin – Post-graduate Student, Institute of Precision Mechanics and Computer Engineering n.a. S.A. Lebedev RAS (Moscow)

E-mail: mishustinivan777@gmail.com

N.B. Preobrazhensky – Ph.D. (Eng.), Senior Research Scientist, Institute of Precision Mechanics and Computer Engineering n.a. S.A. Lebedev RAS (Moscow)

E-mail: nbp@mail.ru

A.A. Zhdanov – Dr.Sc. (Phis.-Math.), Professor, Institute of Precision Mechanics and Computer Engineering n.a. S.A. Lebedev RAS (Moscow)

E-mail: a.zhdanov@mail.ru

I.V. Stepanyan – Dr.Sc. (Biol.), Ph.D. (Eng.), Laboratory of biomechanic systems of Institute of Machine Science named after A.A. Blagonravov of the Russian Academy of Sciences, Research Institute of Occupational Health named after N.F. Izmerov of the Russian Academy of Sciences, Moscow State Сonservatory named after P.I. Chaikovsky

E-mail: neurocomp.pro@gmail.com

Abstract:

An approach to the construction of a neuron-like network based on the biologically inspired method of "autonomous adaptive control" (AAC) [1] is considered. In this paper, we present the results of a study of methods for constructing the model of a neuron and a neuron-like network described in the AAС method, taking into account a number of specific properties.

Pages: 19-25
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Date of receipt: 5 июня 2018 г.