Constructive algorithm for neuro-fuzzy networks
Fabio Massimo Frattale Mascioli, G. M. Varazi, Giovanni Martinelli · 2002
A constructive algorithm is proposed by merging the min-max and the ANFIS models in order to obtain neuro-fuzzy networks. The min-max model is used to determine an optimal set of IF-THEN rules by following a constructive procedure. By means of this set, the architecture of an ANFIS-like net is derived with good performances in terms of structural complexity, generalization capability and speed of convergence. Simulations are described to show the behavior of the proposed algorithm.