WITHDRAWN: Recurrent NARX time series model prediction: A feedforward and recurrent radial basis function network

Neural Networks ◽

10.1016/j.neunet.2010.03.005 ◽

2010 ◽

Author(s):

Ryad Zemouri ◽

Rafael Gouriveau

Keyword(s):

Time Series ◽

Radial Basis Function ◽

Model Prediction ◽

Basis Function ◽

Radial Basis Function Network ◽

Time Series Model ◽

Radial Basis ◽

Function Network

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A dynamic regularized Gaussian radial basis function network for nonlinear, nonstationary time series prediction

1995 International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1995.479720 ◽

2002 ◽

Author(s):

P. Yee ◽

S. Haykin

Keyword(s):

Time Series ◽

Radial Basis Function ◽

Basis Function ◽

Time Series Prediction ◽

Radial Basis Function Network ◽

Nonstationary Time Series ◽

Radial Basis ◽

Function Network

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Stability Analysis of Nonlinear Systems via Estimating Radial-Basis-Function-Network-Based Lyapunov Exponents From a Scalar Time Series

Volume 2: Legged Locomotion; Mechatronic Systems; Mechatronics; Mechatronics for Aquatic Environments; MEMS Control; Model Predictive Control; Modeling and Model-Based Control of Advanced IC Engines; ◽

10.1115/dscc2012-movic2012-8508 ◽

2012 ◽

Author(s):

Yuming Sun ◽

Qiong Wu

Keyword(s):

Time Series ◽

Stability Analysis ◽

Nonlinear Systems ◽

Radial Basis Function ◽

Lyapunov Exponents ◽

Basis Function ◽

Radial Basis Function Network ◽

Radial Basis ◽

Function Network ◽

Scalar Time Series

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Determining the structure of a radial basis function network for prediction of nonlinear hydrological time series

Hydrological Sciences Journal ◽

10.1623/hysj.51.1.21 ◽

2006 ◽

Vol 51 (1) ◽

pp. 21-44 ◽

Author(s):

A. W. JAYAWARDENA ◽

P. C. XU ◽

F. L. TSANG ◽

W. K. LI

Keyword(s):

Time Series ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Radial Basis ◽

Function Network

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ICA-based radial basis function network for multivariate chaotic time series forecasting

2010 International Conference on Intelligent Control and Information Processing ◽

10.1109/icicip.2010.5564341 ◽

2010 ◽

Author(s):

Jianhui Xi ◽

Yanfang Niu ◽

Liying Jiang

Keyword(s):

Time Series ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Time Series Forecasting ◽

Chaotic Time Series ◽

Radial Basis ◽

Function Network

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The effect of different basis functions on a radial basis function network for time series prediction: A comparative study

Neurocomputing ◽

10.1016/j.neucom.2005.07.010 ◽

2006 ◽

Vol 69 (16-18) ◽

pp. 2161-2170 ◽

Author(s):

C. Harpham ◽

C.W. Dawson

Keyword(s):

Time Series ◽

Comparative Study ◽

Radial Basis Function ◽

Basis Function ◽

Time Series Prediction ◽

Radial Basis Function Network ◽

Basis Functions ◽

Radial Basis ◽

Function Network

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A dynamic regularized radial basis function network for nonlinear, nonstationary time series prediction

IEEE Transactions on Signal Processing ◽

10.1109/78.782193 ◽

1999 ◽

Vol 47 (9) ◽

pp. 2503-2521 ◽

Author(s):

P. Yee ◽

S. Haykin

Keyword(s):

Time Series ◽

Radial Basis Function ◽

Basis Function ◽

Time Series Prediction ◽

Radial Basis Function Network ◽

Nonstationary Time Series ◽

Radial Basis ◽

Function Network

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Time series forecasting by combining the radial basis function network and the self-organizing map

Hydrological Processes ◽

10.1002/hyp.5637 ◽

2005 ◽

Vol 19 (10) ◽

pp. 1925-1937 ◽

Author(s):

Gwo-Fong Lin ◽

Lu-Hsien Chen

Keyword(s):

Time Series ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Time Series Forecasting ◽

The Self ◽

Self Organizing Map ◽

Radial Basis ◽

Function Network ◽

Self Organizing

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Prediction of mean monthly total ozone time series – application of radial basis function network

International Journal of Remote Sensing ◽

10.1080/01431160701227695 ◽

2007 ◽

Vol 28 (18) ◽

pp. 4037-4046 ◽

Author(s):

Surajit Chattopadhyay

Keyword(s):

Time Series ◽

Radial Basis Function ◽

Basis Function ◽

Total Ozone ◽

Radial Basis Function Network ◽

Radial Basis ◽

Monthly Total ◽

Function Network

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A radial-basis-function network-based method of estimating Lyapunov exponents from a scalar time series for analyzing nonlinear systems stability

Nonlinear Dynamics ◽

10.1007/s11071-012-0567-z ◽

2012 ◽

Vol 70 (2) ◽

pp. 1689-1708 ◽

Author(s):

Yuming Sun ◽

Christine Qiong Wu

Keyword(s):

Time Series ◽

Nonlinear Systems ◽

Radial Basis Function ◽

Lyapunov Exponents ◽

Basis Function ◽

Radial Basis Function Network ◽

Radial Basis ◽

Function Network ◽

Scalar Time Series

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Chaotic radial basis function network with application to dynamic modeling of chaotic time series

Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286) ◽

10.1109/iembs.1998.747200 ◽

2002 ◽

Author(s):

A. Erfanian

Keyword(s):

Time Series ◽

Radial Basis Function ◽

Dynamic Modeling ◽

Basis Function ◽

Radial Basis Function Network ◽

Chaotic Time Series ◽

Radial Basis ◽

Function Network

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