ON GENERATING FUZZY RULES BY AN EVOLUTIONARY APPROACH
Danuta Rutkowska · Cybernetics & Systems · 1998
This paper shows how knowledge, in the form of fuzzy rules, can be extracted from a fuzzy neural network. A genetic algorithm is applied to find near-optimal fuzzy rules and learn the shapes of membership functions. Moreover, the gradient descent procedures are given for final tuning of membership functions.