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// 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.
Fulltext:
PDF file (238 kB)
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Steklov Math. Inst. of RAS
, 2024