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Toplam kayıt 5, listelenen: 1-5
An Adaptive Fuzzy Wavelet Neural Network with Gradient Learning Algorithm For Nonlinear Function Approximation
(IEEE, 2013)
In this paper a new adaptive fuzzy wavelet neural network (AFWNN) model is proposed for nonlinear function approximation problems. The AFWNN model is a Takagi-Sugeno-Kang (TSK) fuzzy system in which the membership functions ...
Nonlinear System Modeling and Control with Dynamic Fuzzy Wavelet Neural Network
(IEEE, 2015)
This paper proposes a fuzzy neural network model which is dynamic and uses wavelet functions in its processing units. Because of that this new model is called as dynamic fuzzy wavelet neural network (DFWNN). In the DFWNN ...
Nonlinear system modeling with dynamic adaptive neuro-fuzzy inference system
(IEEE Computer Society, 2014)
This paper introduces the architecture and learning procedure of dynamic adaptive neuro-fuzzy inference system (DANFIS) for nonlinear dynamical system modeling. In our DANIS model, IF part of the rules are comprised of ...
Nonlinear System Modeling With Dynamic Adaptive Neuro-Fuzzy Inference System
(IEEE, 2014)
This paper introduces the architecture and learning procedure of dynamic adaptive neuro-fuzzy inference system (DANFIS) for nonlinear dynamical system modeling. In our DANIS model, IF part of the rules are comprised of ...
Dynamic Fuzzy System Design for Modeling and Control of Nonlinear Dynamical Processes
(IEEE, 2015)
This paper introduces the architecture and learning procedure of dynamic fuzzy system (DFS) and its control application with linear quadratic regulator (LQR). Our DFS model is a Takagi-Sugeno type fuzzy system. IF parts ...