Kurum Yazarı "Yılmaz, Sevcan" WoS İndeksli Yayınlar Koleksiyonu İçin Listeleme
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An Adaptive Fuzzy Wavelet Neural Network with Gradient Learning Algorithm For Nonlinear Function Approximation
Oysal, Yusuf; Yılmaz, Sevcan (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 ... -
An adaptive wavelet network for function learning
Oysal, Yusuf; Yılmaz, Sevcan (Springer London LTD, 2010)In this article, a wavelet neural network (WNN) model is proposed for approximating arbitrary nonlinear functions. Our WNN model structure comes from the idea of adaptive neuro-fuzzy inference system (ANFIS) which is used ... -
Dynamic Fuzzy System Design for Modeling and Control of Nonlinear Dynamical Processes
Yılmaz, Sevcan; Oysal, Yusuf (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 ... -
A Fuzzy Wavelet Neural Network Model for System Identification
Yılmaz, Sevcan; Oysal, Yusuf (IEEE, 2009)In this paper, a fuzzy wavelet neural network model is proposed for system identification problems. The proposed model is obtained from the traditional Takagi-Sugeno-Kang (TSK) fuzzy system by replacing the consequent part ... -
Fuzzy Wavelet Neural Network Models for Prediction and Identification of Dynamical Systems
Yılmaz, Sevcan; Oysal, Yusuf (IEEE-Inst Electrical Electronics Engineers Inc, 2010)This paper presents fuzzy wavelet neural network (FWNN) models for prediction and identification of nonlinear dynamical systems. The proposed FWNN models are obtained from the traditional Takagi-Sugeno-Kang fuzzy system ... -
Nonlinear System Modeling and Control with Dynamic Fuzzy Wavelet Neural Network
Yılmaz, Sevcan; Oysal, Yusuf (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
Yılmaz, Sevcan; Oysal, Yusuf (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 ...