Neural Networks and Learning Machines

Haykin, Simon

ISBN 10: 0131471392 / ISBN 13: 9780131471399

Edité par Pearson, 2008

A propos de cet article

N° de réf. du vendeur 4994718-n

Détails bibliographiques

Titre : Neural Networks and Learning Machines

Éditeur : Pearson

Date d'édition : 2008

Reliure : Couverture rigide

Etat : New

Edition : 3ème Édition

A propos de ce titre

Synopsis :

Rare Book

Quatrième de couverture:

Neural Networks and Learning Machines

Third Edition

Simon Haykin

McMaster University, Canada

 

This third edition of a classic book presents a comprehensive treatment of neural networks and learning machines. These two pillars that are closely related. The book has been revised extensively to provide an up-to-date treatment of a subject that is continually growing in importance. Distinctive features of the book include:

· On-line learning algorithms rooted in stochastic gradient descent; small-scale and large-scale learning problems.

· Kernel methods, including support vector machines, and the representer theorem.

· Information-theoretic learning models, including copulas, independent components analysis (ICA), coherent ICA, and information bottleneck.

· Stochastic dynamic programming, including approximate and neurodynamic procedures.

· Sequential state-estimation algorithms, including Kalman and particle filters.

· Recurrent neural networks trained using sequential-state estimation algorithms.

· Insightful computer-oriented experiments.

 

Just as importantly, the book is written in a readable style that is Simon Haykin’s hallmark.