Yazar "Yılmaz, Sevcan" için listeleme
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An adaptive fuzzy wavelet network with gradient learning for nonlinear function approximation
Oysal, Yusuf; Yılmaz, Sevcan (Freund Publishing House Ltd, 2014)In this article, a new adaptive fuzzy wavelet neural network (AFWNN) model is proposed for nonlinear function approximation problems. The AFWNN model is based on the traditional Takagi-Sugeno-Kang fuzzy system. Specifically, ... -
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 ... -
Kontrol ve sistem tanımlama uygulamaları için çok katmanlı dinamik bulanık ağ tasarımları
Yılmaz, Sevcan (Anadolu Üniversitesi, 2014)Bu tezde, üç farklı yeni nöro-bulanık sinir ağı modeli, sistem tanıma ve kontrol problemleri için önerilmektedir. Önerilen modellerin yapısı, bilinmeyen bir fonksiyonun giriş-çıkış verilerinden bulanık kural tabanı elde ... -
A new fuzzy wavelet neural network design for time series prediction
Yılmaz, Sevcan (Anadolu Üniversitesi, 2009)Bu tezde, işlem birimlerinde dalgacık fonksiyonu kullanan iki farklı bulanık sinir ağı modeli zaman serisi kestirimi ve sistem tanımlaması problemleri için önerilmiştir. Bu modellerin yapısı, bilinmeyen bir fonksiyonun ... -
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 ... -
A quantitative comparison of state of the art circle detection algorithms
Çıplak, Gökhan (Anadolu Üniversitesi, 2016)Bir çok uygulama alanına sahip olması, dijital imgelerde daire tespitini önemli bir problem yapmaktadır. Literatürde çok sayıda daire tespit algoritması sunulmasına rağmen, her bir algoritma kendi etkinliğini göstermek ...
