A Detailed Comparative Study of RBF Well Yield and River Flow

New Ideas Concerning Science and Technology Vol. 6 ◽

10.9734/bpi/bpi/nicst/v6/7251d ◽

2021 ◽

pp. 153-160

Author(s):

H. Vijaya Kumar ◽

Nagraj S. Pati

Keyword(s):

Comparative Study ◽

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A comparative study in long‐term river flow forecasting models

International Journal of River Basin Management ◽

10.1080/15715124.2009.9635398 ◽

2009 ◽

Vol 7 (4) ◽

pp. 403-413 ◽

Author(s):

M. Reza Ghanbarpour ◽

Karim C. Abbaspour ◽

Keith W. Hipel

Keyword(s):

Comparative Study ◽

Forecasting Models ◽

River Flow Forecasting

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A comparative study of artificial neural network (MLP, RBF) and support vector machine models for river flow prediction

Environmental Earth Sciences ◽

10.1007/s12665-015-5096-x ◽

2016 ◽

Vol 75 (6) ◽

Author(s):

Mohammad Ali Ghorbani ◽

Hojat Ahmad Zadeh ◽

Mohammad Isazadeh ◽

Ozlem Terzi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Support Vector Machine ◽

Comparative Study ◽

Support Vector ◽

Flow Prediction ◽

Artificial Neural

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A comparative Study of Data Mining Techniques for Estimating Suspended Sediment Load in River Flow

Eighth International Conference On Advances in Civil and Structural Engineering - CSE 2018 ◽

10.15224/978-1-63248-145-0-31 ◽

2018 ◽

Author(s):

ALI H ◽

HUSHAM T ◽

SARMAD A

Keyword(s):

Data Mining ◽

Comparative Study ◽

Suspended Sediment ◽

Sediment Load ◽

Suspended Sediment Load ◽

Data Mining Techniques

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A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2015.09.010 ◽

2015 ◽

Vol 46 ◽

pp. 258-268 ◽

Author(s):

X.Y. Chen ◽

K.W. Chau ◽

A.O. Busari

Keyword(s):

Neural Network ◽

Comparative Study ◽

Network Model ◽

Neural Network Model ◽

Optimization Algorithms ◽

Population Based ◽

Hybrid Neural Network ◽

River Flow Forecasting

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A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region

Journal of Hydrology ◽

10.1016/j.jhydrol.2013.11.054 ◽

2014 ◽

Vol 509 ◽

pp. 379-386 ◽

Author(s):

Zhibin He ◽

Xiaohu Wen ◽

Hu Liu ◽

Jun Du

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Support Vector Machine ◽

Comparative Study ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Support Vector ◽

Inference System ◽

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ARMA Modelling of Benue River Flow Dynamics: Comparative Study of PAR Model

Open Journal of Modern Hydrology ◽

10.4236/ojmh.2011.11001 ◽

2011 ◽

Vol 01 (01) ◽

pp. 1-9 ◽

Author(s):

Otache Y. Martins ◽

M. A. Sadeeq ◽

I. E. Ahaneku

Keyword(s):

Comparative Study ◽

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Comparative Study on River Flow Forecasting Methods of River Networks

2009 WRI World Congress on Software Engineering ◽

10.1109/wcse.2009.321 ◽

2009 ◽

Author(s):

Rui Wang ◽

Jun Xia

Keyword(s):

Comparative Study ◽

River Networks ◽

River Flow Forecasting ◽

Forecasting Methods

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Author response for "Laminar distribution of cortical projection neurons to the pulvinar: A comparative study in cats and mice"

10.1002/cne.25072/v2/response1 ◽

2020 ◽

Author(s):

Bruno Oliveira Ferreira de Souza ◽

Éve‐Marie Frigon ◽

Robert Tremblay‐Laliberté ◽

Christian Casanova ◽

Denis Boire

Keyword(s):

Comparative Study ◽

Author Response ◽

Projection Neurons ◽

Cortical Projection ◽

Laminar Distribution

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Decision letter for "Laminar distribution of cortical projection neurons to the pulvinar: A comparative study in cats and mice"

10.1002/cne.25072/v2/decision1 ◽

2020 ◽

Keyword(s):

Comparative Study ◽

Projection Neurons ◽

Cortical Projection ◽

Laminar Distribution

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Review for "Laminar distribution of cortical projection neurons to the pulvinar: A comparative study in cats and mice"

10.1002/cne.25072/v1/review2 ◽

2020 ◽

Keyword(s):

Comparative Study ◽

Projection Neurons ◽

Cortical Projection ◽

Laminar Distribution

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