RUS  ENG
Full version
JOURNALS // Informatsionnye Tekhnologii i Vychslitel'nye Sistemy // Archive

Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2010 Issue 1, Pages 73–78 (Mi itvs6)

MATHEMATICAL MODELING

Convergence analysis of commutated neural networks traffic reduction algorithm

S. Yu. Stepanov

Moscow State Technological University "Stankin"

Abstract: This paper gives a brief description of the goal of reducing traffic information in the commutated neural network, neural network fragmentation algorithm and the proof of convergence of the algorithm.

Keywords: commutated neural network, fragmentation, convergence.



© Steklov Math. Inst. of RAS, 2024