Neuron network methods of task assignment in multiprocessing system

Authors:
M. V. Kryzhanovsky;M. Yu. Malsagov
Affiliations:
Center of Optical Neural Technologies of Scientific-Research Institute for System Analysis of Russian Academy of Science, Moscow, Russian Federation 119333;Center of Optical Neural Technologies of Scientific-Research Institute for System Analysis of Russian Academy of Science, Moscow, Russian Federation 119333
Venue:
Optical Memory and Neural Networks
Year:
2010

Citing 3
Cited 0

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Abstract

This article offers two methods of scheduling, based on artificial neural networks. The first one is based on vector networks and the second method is based on Hopfield scalar model. The article contains a detailed description of each algorithm. At the end of the article, the results of computer experiments are presented, where a comparison of algorithms are compared by a quality of the produced decision and by their operation speed.