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 ◽

Radial Basis

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Critical heat flux prediction by using radial basis function and multilayer perceptron neural networks: A comparison study

Nuclear Engineering and Design ◽

10.1016/j.nucengdes.2006.05.005 ◽

2007 ◽

Vol 237 (4) ◽

pp. 377-385 ◽

Cited By ~ 22

Author(s):

Nima Vaziri ◽

Alireza Hojabri ◽

Ali Erfani ◽

Mehrdad Monsefi ◽

Behnam Nilforooshan

Keyword(s):

Neural Networks ◽

Heat Flux ◽

Radial Basis Function ◽

Critical Heat Flux ◽

Basis Function ◽

Multilayer Perceptron ◽

Comparison Study ◽

Radial Basis

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Self-Configuring Radial Basis Function Neural Networks for Chemical Pattern Recognition

Journal of Chemical Information and Computer Sciences ◽

10.1021/ci990306t ◽

1999 ◽

Vol 39 (6) ◽

pp. 1049-1056 ◽

Cited By ~ 36

Author(s):

Chuanhao Wan ◽

Peter de B. Harrington

Keyword(s):

Neural Networks ◽

Pattern Recognition ◽

Radial Basis Function ◽

Basis Function ◽

Chemical Pattern ◽

Radial Basis ◽

Chemical Pattern Recognition

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ChemInform Abstract: Self-Configuring Radial Basis Function Neural Networks for Chemical Pattern Recognition.

ChemInform ◽

10.1002/chin.200007231 ◽

2010 ◽

Vol 31 (7) ◽

pp. no-no

Author(s):

Chuanhao Wan ◽

Peter de B. Harrington

Keyword(s):

Neural Networks ◽

Pattern Recognition ◽

Radial Basis Function ◽

Basis Function ◽

Chemical Pattern ◽

Radial Basis ◽

Chemical Pattern Recognition

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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 ◽

Radial Basis

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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 ◽

Cited By ~ 2

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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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 ◽

Curve Modeling

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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 ◽

Cited By ~ 54

Author(s):

M. Joorabian ◽

S.M.A. Taleghani Asl ◽

R.K. Aggarwal

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Transmission Lines ◽

Basis Function ◽

Radial Basis

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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 ◽

Cited By ~ 61

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 ◽

Radial Basis

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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 ◽

Cited By ~ 39

Author(s):

Paulo A. Kagoda ◽

John Ndiritu ◽

Celiwe Ntuli ◽

Beason Mwaka

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Streamflow Forecasting ◽

Short Term ◽

Radial Basis

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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 ◽

Radial Basis

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