Theorem of training for a competition algorithm
V.S. Antyufeev
Keywords: theorem of training, probabilistic convergence, artificial neural network
Abstract
This paper is an extension of [1], where a new decision algorithm was proposed. In its operation, the unit resembles artificial neural networks. However the functioning of the algorithm proposed is based on the different concepts. It does not use the concept of a net, a neuron. The theorem of training for the new competition algorithm is proved.
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