Adaptive neurofuzzy systems for difficult modelling and control problems
Martin Brown, Chris J. Harris · ePrints Soton (University of Southampton) · 1994
This paper briefly describes how neurofuzzy systems combine the linguistic representation of fuzzy logic with the learning abilities and structure of a neural network. Several training algorithms are briefly described and several inductive learning procedures are outlined.