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An Introduction to the Modeling of Neural Networks
Contributor(s): Peretto, Pierre (Author), Pierre, Peretto (Author), GodrŠ Che, C. (Editor)
ISBN: 0521424879     ISBN-13: 9780521424875
Publisher: Cambridge University Press
OUR PRICE:   $98.80  
Product Type: Paperback - Other Formats
Published: November 1992
Qty:
Annotation: This text is a beginning graduate-level introduction to neural networks, focusing 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.
Additional Information
BISAC Categories:
- Computers | Neural Networks
- Science | Physics - Mathematical & Computational
- Medical | Neuroscience
Dewey: 612.82
LCCN: 93110533
Series: Collection Alea-Saclay
Physical Information: 1.02" H x 5.97" W x 8.95" (1.4 lbs) 492 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This text is a graduate-level introduction to neural networks, focusing 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 section of the book 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.