Applications of Learning Classifier Systems (eBook, PDF)

Redaktion: Bull, Larry

• Format: PDF

Produktbeschreibung

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 shows how the LCS technique combines and exploits many Soft Computing approaches into a single coherent framework to produce an improved performance over other approaches.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 305
• Erscheinungstermin: 13. August 2012
• Englisch
• ISBN-13: 9783540399254
• Artikelnr.: 53394068

Inhaltsangabe

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.