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Algorithmic Description of XCSF

  • Patrick Stalph
Chapter

Abstract

With the three elementary features at hand, it is now time to take a detailed look at one such local learning algorithm that not only optimizes the weights between kernels, but also optimizes the kernel shape to further improve prediction accuracy. The XCSF algorithm is a so called Learning Classifier System (LCS), where a Genetic Algorithm (GA) optimizes a population of rules. A rule consists of a kernel with particular location, shape, and size, and a local model for the corresponding subspace.

Keywords

Genetic Algorithm Prediction Error Receptive Field Local Model Input Space 
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 Fachmedien Wiesbaden 2014

Authors and Affiliations

  1. 1.Lehrstuhl für kognitive ModellierungUniversität TübingenTübingenGermany

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