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Toplam kayıt 28, listelenen: 21-28
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 ...
Estimation of cutting speed in abrasive water jet using an adaptive wavelet neural network
(Springer, 2015)
Abrasive water jet cutting has been proven to be an effective technology for processing various engineering materials. To determine the optimal jet traverse rate (cutting speed) in abrasive water jet cutting is not very ...
A comparative study of adaptive load frequency controller designs in a power system with dynamic neural network models
(Pergamon-Elsevier Science LTD, 2005)
This paper investigates applications of dynamic neural network (DNN) models for adaptive load frequency controller designs in power systems. The proposed dynamic neural network models have lag dynamics and dynamical elements ...
Finding the state sequence maximizing P(O, I\?) on distributed HMMs with privacy
(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, ...
Modeling and prediction with a class of time delay dynamic neural networks
(Elsevier Science BV, 2007)
In this paper, we propose a time delay dynamic neural network (TDDNN) to track and predict a chaotic time series systems. The application of artificial neural networks to dynamical systems has been constrained by the ...
A Fuzzy Wavelet Neural Network Model for System Identification
(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 ...
Time delay dynamic fuzzy networks for time series prediction
(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 ...