Computer Science – Neural and Evolutionary Computing
Scientific paper
2012-02-19
p-Adic Numbers, Ultrametric Analysis and Applications, 2012, Vol. 4, No. 1, pp. 27-33
Computer Science
Neural and Evolutionary Computing
8 pages, LaTeX
Scientific paper
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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