Name: An Introduction to the Modeling of Neural Networks (Collection Alea-Saclay: Monographs and Texts in Statistical Physics) (en Inglés)
Price: 191800.00 CLP
Availability: InStock
Author: Pierre Peretto
ISBN: 9780521414517

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

Formato

Libro Físico

Editorial

Cambridge University Press

Autor

Pierre Peretto

Año

1992

Idioma

Inglés

N° páginas

492

Encuadernación

Tapa Dura

ISBN

0521414512

ISBN13

9780521414517

N° edición

Categorías

Redes neuronales y sistemas difusos

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

Pierre Peretto (Autor) · Cambridge University Press · Tapa Dura

Libro Nuevo

$ 191.800

$ 383.590

Ahorras: $ 191.790

50% descuento

Envío normal

Origen: España (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Jueves 06 de Junio y el Viernes 14 de Junio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "An Introduction to the Modeling of Neural Networks (Collection Alea-Saclay: Monographs and Texts in Statistical Physics) (en Inglés)"

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.