A quantified sensitivity measure of Radial Basis Function Neural Networks to input variation

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596949 ◽

2010 ◽

Author(s):

Xianming Chen ◽

Xiaoqin Zeng ◽

Rong Chu ◽

Shuiming Zhong

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Sensitivity Measure ◽

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Identification of Nonlinear Dynamical System Based on Raised-Cosine Radial Basis Function Neural Networks

Neural Processing Letters ◽

10.1007/s11063-020-10410-9 ◽

2021 ◽

Author(s):

Guo Luo ◽

Zhi Yang ◽

Choujun Zhan ◽

Qizhi Zhang

Keyword(s):

Dynamical System ◽

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Nonlinear Dynamical System ◽

Nonlinear Dynamical ◽

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New methods based on back propagation (BP) and radial basis function (RBF) artificial neural networks (ANNs) for predicting the occurrence of haloketones in tap water

The Science of The Total Environment ◽

10.1016/j.scitotenv.2021.145534 ◽

2021 ◽

Vol 772 ◽

pp. 145534 ◽

Author(s):

Ying Deng ◽

Xiaoling Zhou ◽

Jiao Shen ◽

Ge Xiao ◽

Huachang Hong ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Tap Water ◽

Back Propagation ◽

New Methods ◽

Radial Basis ◽

Artificial Neural

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A Comparison Study on Shape Parameter Selection in Pattern Recognition by Radial Basis Function Neural Networks

Journal of Physics Conference Series ◽

10.1088/1742-6596/1921/1/012124 ◽

2021 ◽

Vol 1921 ◽

pp. 012124

Author(s):

S Tavaen ◽

S Kaennakham

Keyword(s):

Neural Networks ◽

Pattern Recognition ◽

Radial Basis Function ◽

Basis Function ◽

Shape Parameter ◽

Parameter Selection ◽

Comparison Study ◽

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Wind turbine power curve modeling using radial basis function neural networks and tabu search

Renewable Energy ◽

10.1016/j.renene.2020.10.020 ◽

2021 ◽

Vol 163 ◽

pp. 2137-2152

Author(s):

Despina Karamichailidou ◽

Vasiliki Kaloutsa ◽

Alex Alexandridis

Keyword(s):

Neural Networks ◽

Tabu Search ◽

Radial Basis Function ◽

Wind Turbine ◽

Basis Function ◽

Power Curve ◽

Radial Basis ◽

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Accurate fault locator for EHV transmission lines based on radial basis function neural networks

Electric Power Systems Research ◽

10.1016/j.epsr.2004.02.002 ◽

2004 ◽

Vol 71 (3) ◽

pp. 195-202 ◽

Author(s):

M. Joorabian ◽

S.M.A. Taleghani Asl ◽

R.K. Aggarwal

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Transmission Lines ◽

Basis Function ◽

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Modeling and prediction of viscosity of water-based nanofluids by radial basis function neural networks

Powder Technology ◽

10.1016/j.powtec.2015.04.058 ◽

2015 ◽

Vol 281 ◽

pp. 173-183 ◽

Author(s):

Ningbo Zhao ◽

Xueyou Wen ◽

Jialong Yang ◽

Shuying Li ◽

Zhitao Wang

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Modeling And Prediction ◽

Water Based ◽

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Application of radial basis function neural networks to short-term streamflow forecasting

Physics and Chemistry of the Earth Parts A/B/C ◽

10.1016/j.pce.2010.07.021 ◽

2010 ◽

Vol 35 (13-14) ◽

pp. 571-581 ◽

Author(s):

Paulo A. Kagoda ◽

John Ndiritu ◽

Celiwe Ntuli ◽

Beason Mwaka

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Streamflow Forecasting ◽

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Support Vector Regression and Radial Basis Function Neural Networks Applied to Semi-quantitative Prediction of Rhubarbs

Third International Conference on Natural Computation (ICNC 2007) ◽

10.1109/icnc.2007.698 ◽

2007 ◽

Author(s):

Zhuoyong Zhang ◽

Xiaofang Zhang ◽

Peter de B. Harrington

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Support Vector Regression ◽

Basis Function ◽

Quantitative Prediction ◽

Support Vector ◽

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Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2015.2497286 ◽

2016 ◽

Vol 27 (12) ◽

pp. 2458-2471 ◽

Author(s):

Jenni Raitoharju ◽

Serkan Kiranyaz ◽

Moncef Gabbouj

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

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Radial basis function neural networks for adaptive on-line identification of rapidly time-varying nonlinear systems with optimal adaptation to new structures

IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2002.1176369 ◽

2003 ◽

Author(s):

G. Apostolikas ◽

S. Tzafestas

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Radial Basis Function ◽

Basis Function ◽

Time Varying ◽

Line Identification ◽

Radial Basis ◽

On Line ◽

Optimal Adaptation

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