Titlebook: Neural Networks Theory; Alexander I. Galushkin Book 2007 Springer-Verlag Berlin Heidelberg 2007 Applications of Fuzzy Logic.Fuzziness.Fuzz

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Informative Feature Selection in Multilayer Neural Networkse existence approaches to this solution and description of so-called structural methods based on the multilayer neural network pattern recognition systems synthesis [.], [.] are discussed in this book.

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Qualitative Characteristics of Neural Network ArchitecturesThe main qualitative characteristics of neural network architectures are the following [., .]:

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Analysis of the Open-Loop Neural NetworksThe initial data for the analysis of the open-loop neural networks are the given distribution density of the input signal and the structure of the open-loop neural network. The following open-loop neural network structures are usually considered: neurons with two, .., and a continuum of solutions, nonlinear and multilayer neural networks.

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Adjustment of Continuum Neural NetworksThis chapter deals with a continuum model of the two-layer neural network with continuum neurons in the first layer and with a neuron with a continuum of features at the input in the second layer. The model structure in this case is described by the expression

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