Value: $49.99
(as of Aug 03, 2025 06:37:08 UTC – Particulars)
This e-book, by the authors of the Neural Community Toolbox for MATLAB, gives a transparent and detailed protection of elementary neural community architectures and studying guidelines. In it, the authors emphasize a coherent presentation of the principal neural networks, strategies for coaching them and their purposes to sensible issues.FeaturesExtensive protection of coaching strategies for each feedforward networks (together with multilayer and radial foundation networks) and recurrent networks. Along with conjugate gradient and Levenberg-Marquardt variations of the backpropagation algorithm, the textual content additionally covers Bayesian regularization and early stopping, which make sure the generalization capability of educated networks.Associative and aggressive networks, together with function maps and studying vector quantization, are defined with easy constructing blocks.A chapter of sensible coaching ideas for operate approximation, sample recognition, clustering and prediction, together with 5 chapters presenting detailed real-world case research.Detailed examples and quite a few solved issues. Slides and complete demonstration software program may be downloaded from https://github.com/NNDesignDeepLearning.
Writer : Martin Hagan
Publication date : Sept. 1 2014
Version : 2nd
Language : English
Print size : 800 pages
ISBN-10 : 0971732116
ISBN-13 : 978-0971732117
Merchandise weight : 1.35 kg
Dimensions : 19.05 x 4.6 x 23.5 cm
Greatest Sellers Rank: #1,264,229 in Books (See High 100 in Books) #44 in Fuzzy Logic Algorithms #495 in A.I. Neural Networks #1,613 in AI Machine Studying
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