Rule-Based Evolutionary Online Learning Systems / Studies in Fuzziness and Soft Computing Bd.191 (PDF)
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...
48 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
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.
- Autor: Martin V. Butz
- 2006, 2006, 259 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3540312315
- ISBN-13: 9783540312314
- Erscheinungsdatum: 04.01.2006
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 6.64 MB
- Mit Kopierschutz
- Vorlesefunktion
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Rule-Based Evolutionary Online Learning Systems / Studies in Fuzziness and Soft Computing Bd.191".
Kommentar verfassen