Neural Networks: FNN Training Algorithms: Simultaneous perturbation, Backpropagation and Tunneling methods - Couverture souple
Synopsis
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.
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Biographie de l'auteur
Author is working as Associate Professor & Head in the Department of Computer Science, V.H.N.Senthikumara Nadar College, Virudhunagar, TamilNadu, INDIA for the past 23 years. He has been awarded Ph.D Degree by University of Madras, Chennai in the year 2004. His area of interest includes Neural Networks, and Pattern recognition.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Neural Networks: FNN Training Algorithms
Edité par
VDM Verlag Dr. Müller, 2010
ISBN 10 : 3639300769
ISBN 13 : 9783639300765
Neuf
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kathirvalavakumar ThangairulappanAuthor is working as Associate Professor & Head in the Department of Computer Science, V.H.N.Senthikumara Nadar College, Virudhunagar, TamilNadu, INDIA for the past 23 years. He has been awarded Ph.D . N° de réf. du vendeur 4975524
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Neural Networks: FNN Training Algorithms | Simultaneous perturbation, Backpropagation and Tunneling methods
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Taschenbuch. Etat : Neu. Neural Networks: FNN Training Algorithms | Simultaneous perturbation, Backpropagation and Tunneling methods | Thangairulappan Kathirvalavakumar | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639300765 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107265249
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Neural Networks: FNN Training Algorithms : Simultaneous perturbation, Backpropagation and Tunneling methods
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783639300765
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