Statistical mechanics of learning /

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Artificial neural networks provide a simple framework for describing learning from examples. This coherent account of important concepts and techniques of statistical mechanics and their application to learning theory comes with background material in mathematics and physics, plus many examples and...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Engel, A. (Andreas), 1957-
Other Authors: Broeck, C. van den (Christian), 1954-
Format: Electronic eBook
Language:Inglés
Published: Cambridge, UK ; New York, NY : Cambridge University Press, 2001.
Subjects:
Neural networks (Computer science)
Learning.
Artificial intelligence.
Neural Networks, Computer
Learning
Artificial Intelligence
Réseaux neuronaux (Informatique)
Apprentissage.
Intelligence artificielle.
artificial intelligence.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Artificial intelligence
Künstliche Intelligenz
Lerntheorie
Maschinelles Lernen
Statistische Mechanik
Leren.
Neurale netwerken.
Kunstmatige intelligentie.
Réseaux neuronaux (informatique)
Apprentissage professionnel.
Online Access:Texto completo
Description
Summary:Artificial neural networks provide a simple framework for describing learning from examples. This coherent account of important concepts and techniques of statistical mechanics and their application to learning theory comes with background material in mathematics and physics, plus many examples and exercises, making it ideal for courses, self-teaching, or reference.
Physical Description:1 online resource (xi, 329 pages) : illustrations
Bibliography:Includes bibliographical references (pages 313-325) and index.
ISBN:051102021X
9780511020216
9781139164542
1139164546
0511148054
9780511148057
9780511049828
051104982X

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