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Toplam kayıt 15, listelenen: 1-10
Fuzzy Wavelet Neural Network Models for Prediction and Identification of Dynamical Systems
(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 ...
Private predictions on hidden Markov models
(Springer, 2010)
Hidden Markov models (HMMs) are widely used in practice to make predictions. They are becoming increasingly popular models as part of prediction systems in finance, marketing, bio-informatics, speech recognition, signal ...
A new hybrid recommendation algorithm with privacy
(Wiley-Blackwell, 2012)
Providing accurate and dependable recommendations efficiently while preserving privacy is essential for e-commerce sites to recruit new customers and keep the existing ones. Such sites might be able to increase their sales ...
Providing predictions on distributed HMMs with privacy
(Springer, 2007)
As forecasting is increasingly becoming important, hidden Markov models (HMMs) are widely used for prediction in many applications such as finance, marketing, bioinformatics, speech recognition, and so on. After creating ...
Generalized modeling principles of a nonlinear system with a dynamic fuzzy network
(Pergamon-Elsevier Science LTD, 2003)
Generalized modeling principles of a nonlinear system with a dynamic fuzzy network (DFN)-a network with unconstrained connectivity and with dynamic fuzzy processing units called 'feurons', have been given. DFN model has ...
An intelligent control of chaos in lorenz system, with a dynamic wavelet network
(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 (OWN)" has lag dynamics, non-orthogonal mother ...
Phase portrait modeling of a nonlinear system with a dynamic fuzzy network
(Springer, 2005)
Fuzzy logic and neural networks are two important technologies for modeling and control of dynamical systems and have been constrained by the non-dynamical nature of their some popular architectures. There exist problems ...
Modified descend curvature based fixed form fuzzy optimal control of nonlinear dynamical systems
(Pergamon-Elsevier Science LTD, 2006)
In this study, a fuzzy rule-based optimal controller is designed for nonlinear dynamical systems. The direct second order method (or direct-descend-curvature algorithm) with a modification called "modified descend controller ...
Trajectory priming with dynamic fuzzy networks in nonlinear optimal control
(IEEE-Inst Electrical Electronics Engineers Inc, 2004)
Fuzzy logic systems have been recognized as a robust and attractive alternative to some classical control methods. The application of classical fuzzy logic (FL) technology to dynamic system control has been constrained by ...
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 ...