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)


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.


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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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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