On Various Multi-Layer Perceptron and Radial Basis Function Based Artificial Neural Networks in the Process of a Hot Flow Curve Description

Journal of Materials Research and Technology ◽

10.1016/j.jmrt.2021.07.100 ◽

2021 ◽

Author(s):

Petr Opěla ◽

Ivo Schindler ◽

Petr Kawulok ◽

Rostislav Kawulok ◽

Stanislav Rusz ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Multi Layer Perceptron ◽

Radial Basis ◽

Artificial Neural

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Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

Process Safety and Environmental Protection ◽

10.1016/j.psep.2014.04.006 ◽

2015 ◽

Vol 93 ◽

pp. 111-123 ◽

Author(s):

Majid Bagheri ◽

S.A. Mirbagheri ◽

Majid Ehteshami ◽

Zahra Bagheri

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Sequencing Batch Reactor ◽

Municipal Wastewater ◽

Batch Reactor ◽

Multi Layer Perceptron ◽

Radial Basis ◽

Artificial Neural

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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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Pre- and post-operative predictions of recurrence in patients with cancer of the oesophago-gastric junction using radial basis function artificial neural networks

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.1998.746214 ◽

2002 ◽

Author(s):

R.N.G. Naguib ◽

J. Wayman ◽

M.K. Bennett ◽

S.A. Raimes ◽

S.M. Griffin

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Patients With Cancer ◽

Radial Basis ◽

Artificial Neural

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Centre and Variance Selection for Gaussian Radial Basis Function Artificial Neural Networks

Artificial Neural Nets and Genetic Algorithms ◽

10.1007/978-3-7091-6384-9_25 ◽

1999 ◽

pp. 141-147

Author(s):

F. Scheibel ◽

N. C. Steele ◽

R. Low

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis ◽

Selection For ◽

Artificial Neural

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Artificial neural networks in structural dynamics: A new modular radial basis function approach vs. convolutional and feedforward topologies

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2020.112989 ◽

2020 ◽

Vol 364 ◽

pp. 112989 ◽

Author(s):

Marcus Stoffel ◽

Rutwik Gulakala ◽

Franz Bamer ◽

Bernd Markert

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Radial Basis Function ◽

Structural Dynamics ◽

Basis Function ◽

Function Approach ◽

Radial Basis ◽

Artificial Neural

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An Intelligent Approach to Educational Data: Performance Comparison of the Multilayer Perceptron and the Radial Basis Function Artificial Neural Networks

Educational Sciences Theory & Practice ◽

10.12738/estp.2015.5.0238 ◽

2015 ◽

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Multilayer Perceptron ◽

Performance Comparison ◽

Radial Basis ◽

Artificial Neural ◽

Intelligent Approach

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Prediction of Coral South FLNG Side-by-Side Offloading Operability Using Radial Basis Function Artificial Neural Networks

10.4043/29263-ms ◽

2019 ◽

Author(s):

Erwan Auburtin ◽

Thiago Miliante ◽

Diego Lima

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis ◽

Artificial Neural

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Comparative Study of Multilayer Perceptron and Radial Basis Function Artificial Neural Networks for Rainfall-Runoff Modeling in a Watershed

International Journal of Pure & Applied Bioscience ◽

10.18782/2320-7051.6078 ◽

2017 ◽

Vol 5 (6) ◽

pp. 1471-1481

Author(s):

Sanjarambam Nirupama Chanu ◽

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Comparative Study ◽

Radial Basis Function ◽

Basis Function ◽

Multilayer Perceptron ◽

Rainfall Runoff ◽

Runoff Modeling ◽

Radial Basis ◽

Artificial Neural

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Development of gradient elution retention model in ion chromatography by using radial basis function artificial neural networks

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2006.08.011 ◽

2007 ◽

Vol 86 (1) ◽

pp. 95-101 ◽

Author(s):

Tomislav Bolanča ◽

Štefica Cerjan-Stefanović ◽

Melita Luša ◽

Hrvoje Regelja ◽

Sven Lončarić

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Radial Basis Function ◽

Ion Chromatography ◽

Basis Function ◽

Gradient Elution ◽

Retention Model ◽

Radial Basis ◽

Artificial Neural

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Removal of computed tomography ring artifacts via radial basis function artificial neural networks

Physics in Medicine and Biology ◽

10.1088/1361-6560/ab5035 ◽

2019 ◽

Vol 64 (23) ◽

pp. 235015 ◽

Author(s):

Zhen Chao ◽

Hee-Joung Kim

Keyword(s):

Computed Tomography ◽

Neural Networks ◽

Artificial Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis ◽

Artificial Neural

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