Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2005
Genre:	EDV / Informatik
	Angewandte Mathematik / Applications of Mathematics / Applied mathematics / Artificial Intelligence / B / Computers / engineering / Engineering mathematics / Künstliche Intelligenz / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Mathematical theory of computation / Mathematik für Ingenieure / Maths for engineers / Neuroscience / Neurosciences / Neurowissenschaften / Theory of Computation mehr...
ISBN:	9783540253792
EAN-Code:	9783540253792
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#191 - Studies in Fuzziness and Soft Computing
Dimensionen:	H 297 mm / B 210 mm / D
Gewicht:	1290 gr
Seiten:	259
Illustration:	XXI, 259 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.