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An Introduction to the Modeling of Neural Networks
Pierre Peretto
€ 187.92
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Description for An Introduction to the Modeling of Neural Networks
Hardback. This book is a beginning graduate-level introduction to neural networks which is divided into four parts. Series Editor(s): Godrche, C. Series: Collection Alea-Saclay: Monographs and Texts in Statistical Physics. Num Pages: 492 pages, diagrams. BIC Classification: PHS; PSVD. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 32. Weight in Grams: 890.
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 ... Read more
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 ... Read more
Product Details
Publisher
Cambridge University Press United Kingdom
Number of pages
492
Format
Hardback
Publication date
1992
Series
Collection Alea-Saclay: Monographs and Texts in Statistical Physics
Condition
New
Number of Pages
492
Place of Publication
Cambridge, United Kingdom
ISBN
9780521414517
SKU
V9780521414517
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1
Reviews for An Introduction to the Modeling of Neural Networks
"...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 ... Read more