Get Real! XCS with Continuous-Valued Inputs

  • Authors:
  • Stewart W. Wilson

  • Affiliations:
  • -

  • Venue:
  • Learning Classifier Systems, From Foundations to Applications
  • Year:
  • 2000

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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 task.