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Get Real! XCS with Continuous-Valued Inputs

  • Stewart W. Wilson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1813)

Abstract

Classifier systems have traditionally taken binary strings as inputs, yet in many real problems such as data inference, the inputs have real components. A modified XCS classifier system is described that learns a non-linear real-vector classification t

Keywords

Test Problem Evolutionary Computation Disjunctive Normal Form Data Inference Current Count 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Stewart W. Wilson
    • 1
    • 2
  1. 1.The University of IllinoisUrbana-ChampaignUSA
  2. 2.Prediction DynamicsConcordUSA

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