Download EBOOK Neural Network Design (2nd Edition) PDF for free


Download EBOOK Neural Network Design (2nd Edition) PDF for free Category: Computing
The author of the book: Martin T Hagan
Format files: PDF, EPUB, TXT, DOCX
The size of the: 566 KB
Language: English
ISBN-13: 9780971732117
Edition: Martin Hagan
Date of issue: 1 September 2014

Description of the book "Neural Network Design (2nd Edition)":

This book, by the authors of the Neural Network Toolbox for MATLAB, provides a clear and detailed coverage of fundamental neural network architectures and learning rules. In it, the authors emphasize a coherent presentation of the principal neural networks, methods for training them and their applications to practical problems. Features Extensive coverage of training methods for both feedforward networks (including multilayer and radial basis networks) and recurrent networks. In addition to conjugate gradient and Levenberg-Marquardt variations of the backpropagation algorithm, the text also covers Bayesian regularization and early stopping, which ensure the generalization ability of trained networks. Associative and competitive networks PDF, including feature maps and learning vector quantization, are explained with simple building blocks. A chapter of practical training tips for function approximation, pattern recognition, clustering and prediction, along with five chapters presenting detailed real-world case studies. Detailed examples and numerous solved problems. Slides and comprehensive demonstration software can be downloaded from hagan.okstate.edu/nnd.html.

Download EBOOK Neural Network Design (2nd Edition) PDF for free


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Martin T Hagan

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Download EBOOK Neural Network Design (2nd Edition) PDF for free



Download EBOOK Neural Network Design (2nd Edition) for free

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