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Fuzzy ARTMAP Ensemble Based Decision Making and Application

Author

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  • Min Jin
  • Zengbing Xu
  • Ren Li
  • Dan Wu

Abstract

Because the performance of single FAM is affected by the sequence of sample presentation for the offline mode of training, a fuzzy ARTMAP (FAM) ensemble approach based on the improved Bayesian belief method is supposed to improve the classification accuracy. The training samples are input into a committee of FAMs in different sequence, the output from these FAMs is combined, and the final decision is derived by the improved Bayesian belief method. The experiment results show that the proposed FAMs’ ensemble can classify the different category reliably and has a better classification performance compared with single FAM.

Suggested Citation

  • Min Jin & Zengbing Xu & Ren Li & Dan Wu, 2013. "Fuzzy ARTMAP Ensemble Based Decision Making and Application," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-7, September.
    • Handle: RePEc:hin:jnlmpe:124263
    DOI: 10.1155/2013/124263
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