Adjusting fuzzy weights in fuzzy neural nets
Thomas Feuring, James J. Buckley, Yoichi Hayashi · 2002
In order to train fuzzy neural nets fuzzy number weights have to be adjusted. Because fuzzy arithmetic automatically leads to monotonic increasing outputs a direct fuzzification of the backpropagation method does not work. Therefore, the focus is on other strategies like evolutionary algorithms. In this paper we suggest a backpropagation based method of adjusting the weights. Furthermore we can show that for the proposed method convergence can be guaranteed.