Improved XCS in Classification Problems

Xin Li; Hua Min Tao; Dong Ya Wu

doi:10.4028/www.scientific.net/AMR.1044-1045.1182

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1044-1045Improved XCS in Classification Problems

Improved XCS in Classification Problems

Abstract:

The paper presents the first results of the Improved XCS in classification problems. We classify the classifiers into certain-right classifiers, certain-wrong classifiers and uncertain classifiers, and then analyze the difference between certain and uncertain classifiers. A new classifier attribute at is presented which denotes the ascending times of prediction error, the bad condition set is used to improve the robustness of the system. Several experiment results on binary and integral classification problems demonstrate the superior performance of the Improved XCS.

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Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

1182-1185

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.1182

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Online since:

October 2014

Authors:

Xin Li, Hua Min Tao, Dong Ya Wu

Keywords:

Bad Condition Set, Classification Problem, Classifier, XCS

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References

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