Overview

A learning system can be defined as a system which can adapt its behaviour to become more effective at a particular task. It consists of an architecture with a set of variable parameters and an algorithm. This book covers major aspects of learning systems: system architecture, choice of performance index and methods measuring error. Major learning algorithms are explained, including proofs of convergence, and artificial neural networks, which are an important class of learning systems, are discussed. Where appropriate, examples are given to demonstrate the practical use of techniques developed in the text.

Full Product Details

Author:   Eduard Aved'yan ,  J. Mason ,  P.C. Parks
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Edition. ed.
Dimensions:   Width: 15.50cm , Height: 0.70cm , Length: 23.50cm
Weight:   0.230kg
ISBN:  

9783540199960

ISBN 10:   3540199969
Pages:   119
Publication Date:   25 October 1995
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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