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.
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© 2000 Springer-Verlag Berlin Heidelberg
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Marciniak, A. (2000). Fuzzy Approach to Combining Parallel Experts Response. In: Hampel, R., Wagenknecht, M., Chaker, N. (eds) Fuzzy Control. Advances in Soft Computing, vol 6. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1841-3_32
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DOI: https://doi.org/10.1007/978-3-7908-1841-3_32
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1327-2
Online ISBN: 978-3-7908-1841-3
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