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VDM Verlag Neural Networks: FNN Training Algorithms: Simultaneous perturbation, Backpropagation and Tunneling methods

Name: Neural Networks: FNN Training Algorithms: Simultaneous perturbation, Backpropagation and Tunneling methods
Brand: VDM Verlag
Price: 59.0 GBP
Availability: InStock

AI & Machine Learning

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Artificial neural networks (ANN) are popular machine learning tools that are widely used to solve problems like function approximation, time series prediction, medical diagnosis, character recognition and several optimization problems in various domains of science and engineering. While training ANN, it is essential to have a better optimization method for faster convergence. Simultaneous Perturbation with Stochastic approximation (SPSA) is such a successful optimization method. SPSA provides its power and relative ease of use in difficult multivariate optimization problems and the underlying gradient approximation that requires only two objective function measurements per iteration regardless of the dimension of the optimization problem. This book discusses different neural network learning algorithms to solve classification and non-linear function approximation problems with the combination of simultaneous perturbation, dynamic tunneling techniques, modified back propagation, and neighborhood approach with adaptive learning parameters. Efficiency of these algorithms has been discussed with detailed simulation results for different problems.

Product Specifications

Brand: VDM Verlag
Format: paperback
ASIN: 3639300769
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 08 October 2010
Listed Since: 11 October 2010

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VDM Verlag Neural Networks: FNN Training Algorithms: Simultaneous perturbation, Backpropagation and Tunneling methods

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VDM Verlag Neural Networks: FNN Training Algorithms: Simultaneous perturbation, Backpropagation and Tunneling methods

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