Neural Networks and Intellect - Using Model Based Concepts (Hardcover)

This is a textbook for courses commonly called neural networks in departments of computer and information science. This unique neural network book will describe novel architectures and learning mechanisms of model-based neural networks that utilize and intriguing concept of an internal "world" model. This concept combines a prior knowledge of models with adaptive learning and addresses the most perplexing problems in the fields of neural networks: fast learning and robust generalization. The author provides an overview of neural networks and artificial intelligence fields, relating hundreds of seemingly disparate techniques to several basic mathematical concepts. He then analyzes fundamental computational concepts of major neural network paradigms, and relates them to concepts of mind in philosophy, pschology, and linguistics. Relationships of these mathematical concepts to the concepts of philosophy will help students and researchers determine the directions of future research. This book can also be used as a supplementary text in a graduate course on Neural Networks.

General

Imprint:	Oxford UniversityPress
Country of origin:	United States
Release date:	November 2000
First published:	October 2000
Authors:	Leonid Perlovsky (Chief Scientist)
Dimensions:	243 x 195 x 29mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	496
ISBN-13:	978-0-19-511162-0
Categories:	Books > Social sciences > Psychology > Philosophy & theory of psychology > Cognitive theory Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	0-19-511162-1
Barcode:	9780195111620

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