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In this paper a new structure of a Mamdani recurrent neuro-fuzzy system (MRNFS) model is used to temperature forecasting problem. The model considers two recurrent properties, dynamic rules and the feedback connections which added in the defuzzification layer. The operational parameters of this model are trained using hybrid learning algorithm in which gradient descent (GD) algorithm is used to train...
This paper presents a Mamdani recurrent neuro-fuzzy system model (MRNFS), using modified Honey Bee Optimization (HBO). In the basic version of HBO, the algorithm performs a kind of neighborhood search combined with random search; hence it has the capability of achieving global optimum. To improve the local search ability of HBO and help the algorithm to jump out from the local optimum, a modification...
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