Advanced Algorithms for Neural Networks: A C++ Sourcebook

Advanced Algorithms for Neural Networks: A C++ Sourcebook
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Advanced Algorithms for Neural Networks: A C++ Sourcebook Description

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A valuable working resource for anyone employing neural networks to solve real troubles of this practical guide contains a selection of algorithms of the prior art that are valuable in the design and implementation of networks neurons. All algorithms are presented on both an intuitive and a theoretical level, with source code accessible on an accompanying disc. Many understanding algorithms for multilayer feedforward networks (PNML) are presented. The probabilistic neural network is extended to enable Sigma to each variable, as distinct Sigma vectors for each and every class. The neural network regression is generalized as extended, and a quick studying algorithm of second order for all these models are offered. The book also addresses the network recently developed Gram-Charlier neurons and gives critical details on their strengths and weaknesses. Readers are given a number of proven approaches to decrease the size of input data. Advanced Advanced Algorithms for Neural Networks: A C++ Sourcebook

\n\nAdvanced Algorithms for Neural Networks: A C++ Sourcebook Ebook

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