Rule-based evolutionary online learning systems : a principled approach to LCS analysis and design
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 kno...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2006.
Cham : Springer Nature |
| Serier: | Studies in Fuzziness and Soft Computing
191 |
| Fag: | |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Rule-Based Evolutionary Online Learning Systems, Texte imprimé, 9783642064777 • Rule-Based Evolutionary Online Learning Systems, Texte imprimé, 9783540809371 • Rule-Based Evolutionary Online Learning Systems, Texte imprimé, 9783540253792 |
Indholdsfortegnelse:
- Prerequisites
- Simple Learning Classifier Systems
- The XCS Classifier System
- How XCS Works: Ensuring Effective Evolutionary Pressures
- When XCS Works: Towards Computational Complexity
- Effective XCS Search: Building Block Processing
- XCS in Binary Classification Problems
- XCS in Multi-Valued Problems
- XCS in Reinforcement Learning Problems
- Facetwise LCS Design
- Towards Cognitive Learning Classifier Systems
- Summary and Conclusions.