Browsing by Author "Chen, Long"

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A New Learning Algorithm for a Fully Connected Neuro-Fuzzy Inference System
(2014-10-01)
Chen, C. L. Philip
;
Wang, Jing
;
Wang, Chi-Hsu
;
Chen, Long
;
電機資訊學士班
A traditional neuro-fuzzy system is transformed into an equivalent fully connected three layer neural network (NN), namely, the fully connected neuro-fuzzy inference systems (F-CONFIS). The F-CONFIS differs from traditional NNs by its dependent and repeated weights between input and hidden layers and can be considered as the variation of a kind of multilayer NN. Therefore, an efficient learning algorithm for the F-CONFIS to cope these repeated weights is derived. Furthermore, a dynamic learning rate is proposed for neuro-fuzzy systems via F-CONFIS where both premise (hidden) and consequent portions are considered. Several simulation results indicate that the proposed approach achieves much better accuracy and fast convergence.