Applications of Learning Classifier Systems
This carefully edited book brings together a fascinating selection of applications of Learning Classifier Systems (LCS). The book demonstrates the utility of this machine learning technique in recent real-world applications in such domains as data mining, modeling and optimization, and control. It...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2004.
|
| Έκδοση: | 1st ed. 2004. |
| Σειρά: | Studies in Fuzziness and Soft Computing,
150 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Learning Classifier Systems: A Brief Introduction
- Section 1 - Data Mining
- Data Mining using Learning Classifier Systems
- NXCS Experts for Financial Time Series Forecasting
- Encouraging Compact Rulesets from XCS for Enhanced Data Mining
- Section 2 - Modelling and Optimization
- The Fighter Aircraft LCS: A Real-World, Machine Innovation Application
- Traffic Balance using Learning Classifier Systems in an Agent-based Simulation
- A Multi-Agent Model of the UK Market in Electricity Generation
- Exploring Organizational-Learning Oriented Classifier Systems in Real-World Problems
- Section 3 - Control
- Distributed Routing in Communication Networks using the Temporal Fuzzy Classifier System - a Study on Evolutionary Multi-Agent Control
- The Development of an Industrial Learning Classifier System for Data-Mining in a Steel Hop Strip Mill
- Application of Learning Classifier Systems to the On-Line Reconfiguration of Electric Power Distribution Networks
- Towards Distributed Adaptive Control for Road Traffic Junction Signals using Learning Classifier Systems
- Bibliography of Real-World Classifier Systems Applications.
