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Viac informácií o knihe Neural Networks

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Nákupom získate 217 bodov

Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Information technology: general issues

• Celý názov: Neural Networks
• Podnázov: FNN Training Algorithms
• Autor: Thangairulappan Kathirvalavakumar
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 172
• EAN: 9783639300765
• ISBN: 3639300769
• ID: 06837080
• Nakladateľ: VDM Verlag
• Hmotnosť: 259 g
• Rozmery: 229 × 152 × 10 mm
• Dátum vydania: 08. October 2010

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