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Novel Internal Units for a Neural Network Based Adaptive Fuzzy Inference Systems
Västerås, Sweden August 25-August 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EURMIC.1998.70808324 th. EUROMICRO Conference Volume 2 ...
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N. C. Steele, Coventry University
A. Dobnikar, University of Ljubljana
Novel internal computing units are discussed for carrying out the "OR" operation in fuzzy logic based controllers. A simplified form of the Tageki-Sugeno controller, implemented by a form of "generalised" radial basis function neural network, is used throughout. As well as extending the scope of possible rule bases, a development of the new type of node is shown to provide an alternative to conventional defuzzification methods.
Citation:
N. C. Steele, A. Dobnikar, "Novel Internal Units for a Neural Network Based Adaptive Fuzzy Inference Systems," euromicro, vol. 2, pp.20647, 24 th. EUROMICRO Conference Volume 2 (EUROMICRO'98), 1998
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