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

Salim Heddam

doi:10.1007/s40808-016-0232-5

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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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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Radial Basis Function Neural Network Model for Dissolved Oxygen Concentration Prediction Based on an Enhanced Clustering Algorithm and Adam

IEEE Access ◽

10.1109/access.2021.3066499 ◽

2021 ◽

pp. 1-1

Author(s):

Dashe Li ◽

Xueying Wang ◽

Jiajun Sun ◽

Yanli Feng

Keyword(s):

Neural Network ◽

Dissolved Oxygen ◽

Radial Basis Function ◽

Oxygen Concentration ◽

Network Model ◽

Neural Network Model ◽

Basis Function ◽

Clustering Algorithm ◽

Dissolved Oxygen Concentration ◽

Concentration Prediction

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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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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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Application of the radial basis function neural network to the prediction of log properties from seismic attributes — A channel sand case study

10.1190/1.1817949 ◽

2003 ◽

Cited By ~ 4

Author(s):

Brian H. Russell ◽

Daniel P. Hampson ◽

Laurence R. Lines

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Basis Function ◽

Seismic Attributes ◽

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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Calendar Anomalies in Athens Exchange Stock Market - An Application of GARCH Models and the Neural Network Radial Basis Function

SSRN Electronic Journal ◽

10.2139/ssrn.1264970 ◽

2008 ◽

Cited By ~ 1

Author(s):

Eleftherios Giovanis

Keyword(s):

Neural Network ◽

Stock Market ◽

Radial Basis Function ◽

Basis Function ◽

Garch Models ◽

The Neural Network ◽

Radial Basis ◽

Calendar Anomalies

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