A new fast algorithm for identification of non-linear dynamic systems using radial basis function networks

2003 European Control Conference (ECC) ◽

10.23919/ecc.2003.7085287 ◽

2003 ◽

Author(s):

K. Li

Keyword(s):

Radial Basis Function ◽

Dynamic Systems ◽

Basis Function ◽

Fast Algorithm ◽

Radial Basis Function Networks ◽

Linear Dynamic Systems ◽

Linear Dynamic ◽

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Recursive hybrid algorithm for non-linear system identification using radial basis function networks

International Journal of Control ◽

10.1080/00207179208934272 ◽

1992 ◽

Vol 55 (5) ◽

pp. 1051-1070 ◽

Author(s):

S. CHEN ◽

S. A. BILLINGS ◽

P. M. GRANT

Keyword(s):

System Identification ◽

Linear System ◽

Radial Basis Function ◽

Basis Function ◽

Hybrid Algorithm ◽

Radial Basis Function Networks ◽

Radial Basis ◽

Linear System Identification ◽

Non Linear System

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Modelling of Non-Linear Systems using Radial Basis Function Networks

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)47779-2 ◽

1994 ◽

Vol 27 (8) ◽

pp. 627-632 ◽

Author(s):

J. Suontausta ◽

V.T. Ruoppila ◽

H.N. Koivo

Keyword(s):

Radial Basis Function ◽

Linear Systems ◽

Basis Function ◽

Radial Basis Function Networks ◽

Radial Basis ◽

Non Linear Systems

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Replacement based non-linear data reduction in radial basis function networks QSAR modeling

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2014.04.005 ◽

2014 ◽

Vol 135 ◽

pp. 157-165 ◽

Author(s):

Atefe Malek-Khatabi ◽

Mohsen Kompany-Zareh ◽

Somayeh Gholami ◽

Saeed Bagheri

Keyword(s):

Radial Basis Function ◽

Data Reduction ◽

Basis Function ◽

Radial Basis Function Networks ◽

Qsar Modeling ◽

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Non-linear speech analysis using recurrent radial basis function networks

Proceedings of IEEE Workshop on Neural Networks for Signal Processing ◽

10.1109/nnsp.1994.366035 ◽

2002 ◽

Author(s):

P.A. Moakes ◽

S.W. Beet

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Speech Analysis ◽

Radial Basis Function Networks ◽

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Identification of nonlinear dynamic systems classical methods versus radial basis function networks

Proceedings of 1995 American Control Conference - ACC'95 ◽

10.1109/acc.1995.533847 ◽

2005 ◽

Author(s):

O. Nelles ◽

R. Isermann

Keyword(s):

Radial Basis Function ◽

Dynamic Systems ◽

Basis Function ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Radial Basis Function Networks ◽

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On training radial basis function networks as series-parallel and parallel models for identification of nonlinear dynamic systems

1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century ◽

10.1109/icsmc.1995.538522 ◽

2002 ◽

Author(s):

O. Nelles

Keyword(s):

Radial Basis Function ◽

Dynamic Systems ◽

Basis Function ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Radial Basis Function Networks ◽

Radial Basis ◽

Parallel Models

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Attractor Ranked Radial Basis Function Network: A Nonparametric Forecasting Approach for Chaotic Dynamic Systems

Scientific Reports ◽

10.1038/s41598-020-60606-1 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Maryam Masnadi-Shirazi ◽

Shankar Subramaniam

Keyword(s):

Radial Basis Function ◽

Dynamic Systems ◽

Basis Function ◽

Chaotic Dynamic ◽

Radial Basis Function Network ◽

Radial Basis ◽

Function Network

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Online functional prediction for spatio-temporal systems using time-varying Radial Basis Function networks

2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010) ◽

10.1109/car.2010.5456749 ◽

2010 ◽

Author(s):

J. Su ◽

T.J. Dodd

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Networks ◽

Time Varying ◽

Functional Prediction ◽

Radial Basis ◽

Spatio Temporal

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Calculation of the Volterra kernels of non-linear dynamic systems using an artificial neural network

Biological Cybernetics ◽

10.1007/bf00202758 ◽

1994 ◽

Vol 71 (3) ◽

pp. 187-195 ◽

Author(s):

Jonathan Wray ◽

Gary G. R. Green

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Dynamic Systems ◽

Volterra Kernels ◽

Linear Dynamic Systems ◽

Linear Dynamic ◽

Artificial Neural

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Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems

IEEE Transactions on Neural Networks ◽

10.1109/72.298229 ◽

1994 ◽

Vol 5 (4) ◽

pp. 594-603 ◽

Author(s):

S. Elanayar V.T. ◽

Y.C. Shin

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Dynamic Systems ◽

Basis Function ◽

Stochastic Dynamic ◽

Radial Basis ◽

Stochastic Dynamic Systems ◽

Nonlinear Stochastic Dynamic Systems

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