Simulated annealing dynamic RPROP for training recurrent fuzzy systems
Paris Mastorocostas, Ioannis T. Rekanos · 2005
An adaptive learning method for recurrent fuzzy systems is proposed. The method modifies the SARPROP algorithm, originally developed for static neural models, in order to be applied to dynamic models. A comparative analysis with dynamic RPROP and back propagation through time is given, indicating the enhanced learning capabilities of the proposed algorithm