Könyv Rule-Based Evolutionary Online Learning Systems Martin V. Butz

Rule-Based Evolutionary Online Learning Systems

A Principled Approach to LCS Analysis and Design

Szerző: Martin V. Butz
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
38 497 Ft
This book offers a comprehensive introduction to learning classifier systems (LCS) or more generally...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2010
oldal
259
EAN
9783642064777
ISBN
3642064779
Enbook ID
01651722
Súly
439
Méretek
156 x 234 x 15

Teljes leírás

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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