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Provides a comprehensive foundation of neural networks, recognizing the multidisciplinary nature of the subject, supported with examples, computer-oriented ...
A COMPREHENSIVE FOUNDATION. SIMON HAYKIN. Page 2. Page 3 ...
Introduction; Learning processes; Single layer perceptrons; Multilayer perceptrons; Radial-basis function networks; Support vector machines; ...
Explores the intricacies of the learning processan essential component for understanding neural networks. Considers recurrent networks, such as Hopfield ...
3.9/5 · Goodreads
Introduction; Learning processes; Single layer perceptrons; Multilayer perceptrons; Radial-basis function networks; Support vector machines; Comittee machines; Principal components analysis; Self-organizing ... Google Books
Originally published: 1994
Author: Simon S. Haykin
From the Publisher: This book represents the most comprehensive treatment available of neural networks from an engineering perspective.
Neural networks: a comprehensive foundation by Simon Haykin, Macmillan, 1994, ISBN 0-02-352781-7. Published online by Cambridge University Press.
This book represents the most comprehensive treatment available of neural networks from an engineering perspective. Thorough, well-organized, and completely ...
$78.00
International Journal of Neural Systems covers information processing in natural and artificial neural systems that includes machine learning, ...
Write an up-to-date treatment of neural networks in a comprehensive, thorough, and read- able manner. The new edition has been retitled Neural Networks and ...
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Provides a comprehensive foundation of neural networks, recognizing the multidisciplinary nature of the subject, supported with examples, computer-oriented ...
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