Yazar "Oysal, Yusuf" için Bildiri Koleksiyonu 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 ... -
Adaptive load frequency control with dynamic fuzzy networks in power systems
Oysal, Yusuf; Yılmaz, AS; Koklukaya, E (Springer-Verlag Berlin, 2005)This paper proposes a new controller based on neural network and fuzzy logic technologies for load frequency control to allow for the incorporation of both heuristics and deep knowledge to exploit the best characteristics ... -
Application of rainfall-runoff modeling with neuro-fuzzy
Yürekli, B.; Oysal, Yusuf; Tombul, M. (2007)The use of fuzzy approach is becoming increasingly common in the analysis of hydrology and water resources problems. In this research, a fuzzy inference system was developed and used to model the rainfall-runoff relationship ... -
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 ... -
Finding the State Sequence Maximizing P(O, I vertical bar lambda) on Distributed HMMs with Privacy
Renckes, Şahin; Polat, Hüseyin; Oysal, Yusuf (IEEE, 2009)Hidden Markov models (HMMs) are widely used by many applications for forecasting purposes. They are increasingly becoming popular models as part of prediction systems in finance, marketing, bio-informatics, speech recognition, ... -
Finding the state sequence maximizing P(O, I\?) on distributed HMMs with privacy
Renckes, Şahin; Polat, Hüseyin; Oysal, Yusuf (2009)Hidden Markov models (HMMs) are widely used by many applications for forecasting purposes. They are increasingly becoming popular models as part of prediction systems in nance, marketing, bio-informatics, speech recognition, ... -
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 ... -
An intelligent control of chaos in Lorenz system with a dynamic wavelet network
Oysal, Yusuf (Springer-Verlag Berlin, 2004)This,paper proposes a dynamic wavelet network based intelligent adaptive controller design to regulate the chaotic states of the Lorenz equations. The "Dynamic Wavelet Network (DWN)" has lag dynamics, non-orthogonal mother ... -
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, S.; Oysal, Yusuf (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
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 ... -
On a dynamic wavelet network and its modeling application
Becerikli, Yaşar; Oysal, Yusuf; Konar, AF (Springer-Verlag Berlin, 2003)This study presents a nonlinear dynamical system modeling with dynamic wavelet networks (DWNs). Wavelet is widely used in processing of signals and data. It has been also shown that wavelet can be effectively used in ... -
Time delay dynamic fuzzy networks for time series prediction
Oysal, Yusuf (Springer-Verlag Berlin, 2005)This paper proposes a Time Delay Dynamic Fuzzy Network (TDDFN) that can be used for tracking and prediction of chaotic time series. TDDFN considered here has unconstrained connectivity and dynamical elements in its fuzzy ...