TASK PATTERN CHARACTERISTICS INFLUENCE ON THE HYPOTHESES ADEQUACY, GENERATED BY THE NEURAL NETWORK WITH THE CONNECTIONS 
BASED ON THE FOURIER-HOLOGRAPHY SCHEME

Zoya Bekyasheva, Vladimir N. Vasiliev, Alexey Vostrikov, Pavlov Alexander V

2011 , VOLUME 11, NUMBER 4 ( JULY-AUGUST )

ISSN 2226-1494 (print), ISSN 2500-0373 (online)

Publications

Editor-in-Chief

Nikiforov
Vladimir O.
D.Sc., Prof.

Partners

TASK PATTERN CHARACTERISTICS INFLUENCE ON THE HYPOTHESES ADEQUACY, GENERATED BY THE NEURAL NETWORK WITH THE CONNECTIONS BASED ON THE FOURIER-HOLOGRAPHY SCHEME

Z. Bekyasheva, V. N. Vasiliev, A. Vostrikov, A. V. Pavlov

Read the full article

Abstract

Influence of task pattern on the inner representation size and its spectral characteristics on the hypotheses adequacy, generated by the neural network with the connections based on the Fourier-holography scheme is considered. It is shown that hypotheses adequacy increases with the growth of generalized pattern frequency.

Keywords: holography, neural network, artificial intelligence, cognitive system.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License