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A neural network construction for pattern recognition problems with standard information on the basis of the algorithms of model with piecewise linear surfaces and parameters
Author(s) -
Yu. I. Zhuravlev,
A. E. Dyusembaev
Publication year - 2019
Publication title -
doklady akademii nauk. rossijskaâ akademiâ nauk
Language(s) - English
Resource type - Journals
ISSN - 0869-5652
DOI - 10.31857/s0869-5652488111-15
Subject(s) - piecewise linear function , basis (linear algebra) , computation , artificial neural network , algorithm , piecewise , computer science , operator (biology) , surface (topology) , artificial intelligence , pattern recognition (psychology) , mathematics , geometry , mathematical analysis , biochemistry , chemistry , repressor , transcription factor , gene
In the paper for recognition problems with standard information on the basis of the operator approach and the model with parameters and piecewise linear surface has been constructed a neural network which reproduced of computations performs by the correct algorithm.

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