A fast learning algorithm for parismonious fuzzy neural systems
Fuzzy Sets and Systems - Information processing
Design of robust fuzzy-model-based controller with sliding mode control for SISO nonlinear systems
Fuzzy Sets and Systems - Fuzzy control
An adaptive recurrent fuzzy system for nonlinear identification
Applied Soft Computing
Identification of piecewise affine systems by means of fuzzy clustering and competitive learning
Engineering Applications of Artificial Intelligence
Fuzzy model validation using the local statistical approach
Fuzzy Sets and Systems
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
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An adaptive fuzzy system implemented within the framework of neural network is proposed. The integration of the fuzzy system into a neural network enables the new fuzzy system to have learning and adaptive capabilities. The proposed fuzzy neural network can locate its rules and optimize its membership functions by competitive learning, Kalman filter algorithm and extended Kalman filter algorithms. A key feature of the new architecture is that a high dimensional fuzzy system can be implemented with fewer number of rules than the Takagi-Sugeno fuzzy systems. A number of simulations are presented to demonstrate the performance of the proposed system including modeling nonlinear function, operator's control of chemical plant, stock prices and bioreactor (multioutput dynamical system)