Abstract
We introduce a new procedure for training of artificial neural networks by using the approximation of an objective function by arithmetic mean of an ensemble of selected randomly generated neural networks, and apply this procedure to the classification (or pattern recognition) problem. This approach differs from the standard one based on the optimization theory. In particular, any neural network from the mentioned ensemble may not be an approximation of the objective function.
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Dedicated to Igor Vasilievich Volovich on the occasion of his 65th birthday
The text was submitted by the author in English.
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Kozyrev, S.V. Classification by ensembles of neural networks. P-Adic Num Ultrametr Anal Appl 4, 27–33 (2012). https://doi.org/10.1134/S2070046612010049
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DOI: https://doi.org/10.1134/S2070046612010049