Rule-Based Evolutionary Online Learning Systems

Name: Rule-Based Evolutionary Online Learning Systems
Brand: Springer, Berlin
SKU: 9783642064777
Price: 553.26 RON
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A Principled Approach to LCS Analysis and Design

Autor: Martin V. Butz

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Editura: Springer, Berlin

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This book offers a comprehensive introduction to learning classifier systems (LCS) or more generally...

Informații despre carte

Autor

Martin V. Butz

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2010

Pagini

259

EAN

9783642064777

ISBN

3642064779

Enbook ID

01651722

Editura

Springer, Berlin

Greutate

439

Dimensiuni

156 x 234 x 15

Descriere completă

This book offers a comprehensive introduction to learning classifier systems (LCS) or more generally, rule-based evolutionary online learning systems. LCSs learn interactively much like a neural network but with an increased adaptivity and flexibility. This book provides the necessary background knowledge on problem types, genetic algorithms, and reinforcement learning as well as a principled, modular analysis approach to understand, analyze, and design LCSs. The analysis is exemplarily carried through on the XCS classifier system the currently most prominent system in LCS research. Several enhancements are introduced to XCS and evaluated. An application suite is provided including classification, reinforcement learning and data-mining problems. Reconsidering John Holland s original vision, the book finally discusses the current potentials of LCSs for successful applications in cognitive science and related areas.

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Rule-Based Evolutionary Online Learning Systems

A Principled Approach to LCS Analysis and Design

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Descriere completă

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