Near Real-Time HDD Pullback Force Prediction Model Based on Improved Radial Basis Function Neural Networks

Hongfang Lu; John C. Matthews; Mohammadamin Azimi; Tom Iseley

doi:10.1061/(asce)ps.1949-1204.0000490

Near Real-Time HDD Pullback Force Prediction Model Based on Improved Radial Basis Function Neural Networks

Journal of Pipeline Systems Engineering and Practice ◽

10.1061/(asce)ps.1949-1204.0000490 ◽

2020 ◽

Vol 11 (4) ◽

pp. 04020042

Author(s):

Hongfang Lu ◽

John C. Matthews ◽

Mohammadamin Azimi ◽

Tom Iseley

Keyword(s):

Neural Networks ◽

Prediction Model ◽

Radial Basis Function ◽

Real Time ◽

Basis Function ◽

Force Prediction ◽

Model Based ◽

Radial Basis

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Real-time system identification of an unmanned quadcopter system using fully tuned radial basis function neural networks

International Journal of Modelling Identification and Control ◽

10.1504/ijmic.2021.120209 ◽

2021 ◽

Vol 37 (2) ◽

pp. 128

Author(s):

Mohammad Fahmi Pairan ◽

Syariful Syafiq Shamsudin ◽

Mohd Fauzi Yaakub ◽

Mohd Shazlan Mohd Anwar

Keyword(s):

Neural Networks ◽

System Identification ◽

Radial Basis Function ◽

Real Time ◽

Basis Function ◽

Time System ◽

Real Time System ◽

Radial Basis

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An optimization model based on radial basis function neural networks

Electronics, Communications and Networks IV ◽

10.1201/b18592-94 ◽

2015 ◽

pp. 509-514

Author(s):

Biyuan Yao ◽

Jianhua Yin ◽

Zhen Guo ◽

Wei Wu

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Optimization Model ◽

Model Based ◽

Radial Basis

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Real time face and mouth recognition using radial basis function neural networks

Expert Systems with Applications ◽

10.1016/j.eswa.2008.08.001 ◽

2009 ◽

Vol 36 (3) ◽

pp. 6879-6888 ◽

Cited By ~ 35

Author(s):

M. Balasubramanian ◽

S. Palanivel ◽

V. Ramalingam

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Real Time ◽

Basis Function ◽

Radial Basis

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Real-time system identification of an unmanned quadcopter system using fully tuned radial basis function neural networks

International Journal of Modelling Identification and Control ◽

10.1504/ijmic.2021.10044108 ◽

2021 ◽

Vol 37 (2) ◽

pp. 128

Author(s):

Mohammad Fahmi Pairan ◽

Syariful Syafiq Shamsudin ◽

Mohd Shazlan Mohd Anwar ◽

Mohd Fauzi Yaakub

Keyword(s):

Neural Networks ◽

System Identification ◽

Radial Basis Function ◽

Real Time ◽

Basis Function ◽

Time System ◽

Real Time System ◽

Radial Basis

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Water Demand Prediction Model Based on Radial Basis Function Neural Network

2009 First International Conference on Information Science and Engineering ◽

10.1109/icise.2009.1343 ◽

2009 ◽

Cited By ~ 2

Author(s):

Mingqi Chang ◽

Junping Liu

Keyword(s):

Neural Network ◽

Prediction Model ◽

Radial Basis Function ◽

Basis Function ◽

Water Demand ◽

Demand Prediction ◽

Model Based ◽

Radial Basis ◽

Water Demand Prediction

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Face Recognition Using Posterior Distance Model Based Radial Basis Function Neural Networks

Lecture Notes in Computer Science - Pattern Recognition and Machine Intelligence ◽

10.1007/978-3-642-11164-8_76 ◽

2009 ◽

pp. 470-475

Author(s):

S. Thakur ◽

J. K. Sing ◽

D. K. Basu ◽

M. Nasipuri

Keyword(s):

Neural Networks ◽

Face Recognition ◽

Radial Basis Function ◽

Basis Function ◽

Model Based ◽

Radial Basis ◽

Distance Model

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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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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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Determination of Feed Point by Surrogate Model Based on Radial Basis Function for Rectangular Microstrip Antennas

2019 International Artificial Intelligence and Data Processing Symposium (IDAP) ◽

10.1109/idap.2019.8875956 ◽

2019 ◽

Author(s):

Deniz Ustun ◽

Mustafa Tekbas ◽

Abdurrahim Toktas

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Surrogate Model ◽

Microstrip Antennas ◽

Feed Point ◽

Model Based ◽

Radial Basis

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