Search for: [Abstract = "In this paper the Sigma\-if artificial neural network model is considered, which is a generalization of an MLP network with sigmoidal neurons. It was found to be a potentially universal tool for automatic creation of distributed classification and selective attention systems. To overcome the high nonlinearity of the aggregation function of Sigma\-if neurons, the training process of the Sigma\-if network combines an error backpropagation algorithm with the self\-consistency paradigm widely used in physics."]

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