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Fuzzy Control pp 354-360 | Cite as

Fuzzy Approach to Combining Parallel Experts Response

  • Andrzej Marciniak
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 6)

Abstract

This paper gives description of a parallel neural expert system for solving complex diagnostic problems. The idea of this paper is to propose an ensemble composed of independently trained neural networks. The aim is to build a classifier, which does not need a heavy training process and has good generalisation properties. This work contains a comparison of a few basic methods for combining multiple classifiers. Two classification problems are considered: breast cancer diagnosis and hand-written digit recognition.

Keywords

Multiple Classifier Fuzzy Measure Plurality Rule Trained Neural Network Neural Network Ensemble 
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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References

  1. 1.
    Hansen, L.K., Salamon P.: Neural Network Ensembles, IEEE Trans. on PAMI, Vol. 12, No. 10 (1990) 993–1001CrossRefGoogle Scholar
  2. 2.
    Korbicz, J., Uciski, D., Obuchowicz, A.: Artificial Neural Networks. Foundamentals and Applications, AOW, Warszawa (1994) (in Polish)Google Scholar
  3. 3.
    Mangasarian, O., Street, N., Wolberg, W.: Breast Cancer Diagnosis and Prognosis via Linear Programming, Mathematical Programming Technical Report 94–10 (1994) (available via WWW from ftp.cs.wisc.edu/math-prog)Google Scholar
  4. 4.
    Rojas, R.: Neural Networks. A Systematic Introduction, Springer-Verlag, Berlin Heidelberg (1996)MATHGoogle Scholar
  5. 5.
    Sung-Bae, Cho: Neural-network classifiers for recognizing totally unconstrained handwritten numerals, IEEE Trans. on Neural Networks, Vol. 8, No. 1 (1997) 4353Google Scholar
  6. 6.
    Xu, L., Krzyzak, A., Suen, Ch.: Methods of Combining Multiple Classifiers and Their Applications to Handwriting Recognition, IEEE Trans. on Systems, Man, Cybernetics, Vol.22,. No. 3 (1992) 418–435Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Andrzej Marciniak
    • 1
  1. 1.Department of Robotics and Software EngineeringTechnical University of Zielona GoraZielona GoraPoland

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