Fuzzy neural network with fast backpropagation learning
Zhiling Wang, M. De Sario, Andrea Guerriero, Raffaele Mugnuolo · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
Neural filters with multilayer backpropagation network have been proved to be able to define mostly all linear or non-linear filters. Because of the slowness of the networks' convergency, however, the applicable fields have been limited. In this paper, fuzzy logic is introduced to adjust learning rate and momentum parameter depending upon output errors and training times. This makes the convergency of the network greatly improved. Test curves are shown to prove the fast filters' performance.