Fuzzy Approach to Combining Parallel Experts Response
Andrzej Marciniak · 2000
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. 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.