Backpropagation generalized delta rule for the selective attention Sigma-if artificial neural network
Maciej Huk (2012)
International Journal of Applied Mathematics and Computer Science
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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...