Application of the radial basis function neural network to the prediction of log properties from seismic attributes

New modelling strategy based on radial basis function neural network (RBFNN) for predicting dissolved oxygen concentration using the components of the Gregorian calendar as inputs: case study of Clackamas River, Oregon, USA

Modeling Earth Systems and Environment ◽

10.1007/s40808-016-0232-5 ◽

2016 ◽

Vol 2 (4) ◽

pp. 1-5 ◽

Cited By ~ 11

Author(s):

Salim Heddam

Keyword(s):

Neural Network ◽

Dissolved Oxygen ◽

Radial Basis Function ◽

Oxygen Concentration ◽

Basis Function ◽

Gregorian Calendar ◽

Dissolved Oxygen Concentration ◽

Radial Basis

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Flood Water Level Modeling and Prediction Using Radial Basis Function Neural Network: Case Study Kedah

Communications in Computer and Information Science - Modeling, Design and Simulation of Systems ◽

10.1007/978-981-10-6463-0_20 ◽

2017 ◽

pp. 225-234

Author(s):

Mohd Anuar Abu Bakar ◽

Fathrul Azarshah Abdul Aziz ◽

Shamsul Faisal Mohd Hussein ◽

Shahrum Shah Abdullah ◽

Fauzan Ahmad

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Water Level ◽

Basis Function ◽

Flood Water ◽

Modeling And Prediction ◽

Radial Basis

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Study on evaluation model of soundscape in urban park based on Radial Basis Function Neural Network: A case study of Shiba Park and Kamogawa Park, Japan

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/300/3/032036 ◽

2019 ◽

Vol 300 ◽

pp. 032036 ◽

Cited By ~ 1

Author(s):

Xinchen Hong ◽

Yu Jiang ◽

Shuting Wu ◽

Linying Zhang ◽

Siren Lan

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Basis Function ◽

Evaluation Model ◽

Urban Park ◽

Radial Basis

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ASEG Extended Abstracts ◽

10.1071/aseg2003ab151 ◽

2003 ◽

Vol 2003 (2) ◽

pp. 1-1

Author(s):

Brian Russell ◽

Dan Hampson ◽

Larry Lines

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Basis Function ◽

Seismic Attributes ◽

Radial Basis

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Prediction of river suspended sediment load using radial basis function neural network-a case study in Malaysia

2011 National Postgraduate Conference ◽

10.1109/natpc.2011.6136377 ◽

2011 ◽

Cited By ~ 1

Author(s):

Muhammad Raza Ul Mustafa ◽

Mohamed Hasnain Isa ◽

Rezaur Rahaman Bhuiyan

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Suspended Sediment ◽

Basis Function ◽

Sediment Load ◽

Suspended Sediment Load ◽

Radial Basis

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Forecasting of Vannamei Shrimp Production Based on Weather Factors Using Radial Basis Function Neural Network Approach (Case Study: Lamongan District)

Journal of Physics Conference Series ◽

10.1088/1742-6596/1373/1/012034 ◽

2019 ◽

Vol 1373 ◽

pp. 012034

Author(s):

M U Albab ◽

M I Irawan ◽

D Adzkiya

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Basis Function ◽

Network Approach ◽

Weather Factors ◽

Neural Network Approach ◽

Shrimp Production ◽

Radial Basis

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Radial basis function artificial neural network able to accurately predict disinfection by-product levels in tap water: Taking haloacetic acids as a case study

Chemosphere ◽

10.1016/j.chemosphere.2020.125999 ◽

2020 ◽

Vol 248 ◽

pp. 125999 ◽

Cited By ~ 3

Author(s):

Hongjun Lin ◽

Qunyun Dai ◽

Lili Zheng ◽

Huachang Hong ◽

Wenjing Deng ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Radial Basis Function ◽

Basis Function ◽

Tap Water ◽

Haloacetic Acids ◽

Radial Basis ◽

Artificial Neural

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Urban total ecological footprint forecasting by using radial basis function neural network: A case study of Wuhan city, China

Ecological Indicators ◽

10.1016/j.ecolind.2009.05.003 ◽

2010 ◽

Vol 10 (2) ◽

pp. 241-248 ◽

Cited By ~ 30

Author(s):

X.M. Li ◽

R.B. Xiao ◽

S.H. Yuan ◽

J.An. Chen ◽

J.X. Zhou

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Basis Function ◽

Ecological Footprint ◽

Wuhan City ◽

Radial Basis

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Simultaneous modelling and forecasting of hourly dissolved oxygen concentration (DO) using radial basis function neural network (RBFNN) based approach: a case study from the Klamath River, Oregon, USA

Modeling Earth Systems and Environment ◽

10.1007/s40808-016-0197-4 ◽

2016 ◽

Vol 2 (3) ◽

Cited By ~ 11

Author(s):

Salim Heddam

Keyword(s):

Neural Network ◽

Dissolved Oxygen ◽

Radial Basis Function ◽

Oxygen Concentration ◽

Basis Function ◽

Dissolved Oxygen Concentration ◽

Klamath River ◽

Radial Basis ◽

Modelling And Forecasting

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