An Introduction to the Modeling of Neural Networks Hardback
by Pierre Peretto
Part of the Collection Alea-Saclay: Monographs and Texts in Statistical Physics series
Hardback
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.
The book is divided into four parts. The first part gives an account of the anatomy of the central nervous system, followed by a brief introduction to neurophysiology.
The second part is devoted to the dynamics of neuronal states, and demonstrates how very simple models may stimulate associative memory.
The third part of the book discusses models of learning, including detailed discussions on the limits of memory storage, methods of learning and their associated models, associativity, and error correction.
The final part reviews possible applications of neural networks in artificial intelligence, expert systems, optimization problems, and the construction of actual neuronal supercomputers, with the potential for one-hundred-fold increase in speed over contemporary serial machines.
Information
-
Only a few left - usually despatched within 24 hours
- Format:Hardback
- Pages:492 pages
- Publisher:Cambridge University Press
- Publication Date:29/10/1992
- Category:
- ISBN:9780521414517
Other Formats
- Paperback / softback from £78.89
Information
-
Only a few left - usually despatched within 24 hours
- Format:Hardback
- Pages:492 pages
- Publisher:Cambridge University Press
- Publication Date:29/10/1992
- Category:
- ISBN:9780521414517
