An Introduction to the Modeling of Neural Networks: 2 (Collection Alea-Saclay: Monographs and Texts in Statistical Physics) - Hardcover

Peretto, Pierre

Hardcover

ISBN 10: 0521414512 ISBN 13: 9780521414517

Publisher: Cambridge University Press, 1992

Synopsis

This book is a beginning graduate-level introduction to neural networks which is divided into four parts.

About this title

Review

"...a beginning graduate-level text that discusses a wide range of neural network models and algorithms: simulated annealing, Aleksander's model, Boltzmann machine, perceptron, backpropagation, Hopfield's models, self-organization, and others. It may be especially useful for those with no or limited knowledge of the biology of neural networks and their relation to artificial neural networks." George Georgiou, Mathematical Reviews

"...excellent introductions to this exciting new enterprise...this comprehensive summary of research results in neural networks with both practical and biological applications provides an invaluable resource for the graduate student or researcher working in this field...summarizes some of the important questions that remain in our understanding of biological neural networks that may be addressed with greater integration of neural network modeling and biological experimentation." Roderick V. Jensen, American Journal of Physics

Book Description

This text is a beginning graduate-level introduction to neural networks, focussing on current theoretical models, examining what these models can reveal about how the brain functions, and discussing the ramifications for psychology, artificial intelligence and the construction of a new generation of intelligent computers.

Edition details

• Publisher: Cambridge University Press
• Publication date: 1992
• Language: English
• ISBN 10: 0521414512
• ISBN 13: 9780521414517
• Binding: Hardcover
• Number of pages: 492