Investigation the Ability of Artificial Neural Network in Simulation of Rainfall-Runoff Process under the Climate Change Conditions (Case Study: Pashakola Babol Dam Basin)

Rainfall Runoff ◽

Artificial Neural Network Model for Rainfall-Runoff -A Case Study

International Journal of Hybrid Information Technology ◽

10.14257/ijhit.2016.9.3.24 ◽

2016 ◽

Vol 9 (3) ◽

pp. 263-272 ◽

Cited By ~ 12

Author(s):

P.Sundara Kumar ◽

T. V. Praveen ◽

M. Anjanaya Prasad

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Rainfall Runoff ◽

Rainfall-Runoff Prediction based on Artificial Neural Network: A Case Study Priyadarshini Watershed

International Journal of Current Microbiology and Applied Sciences ◽

10.20546/ijcmas.2019.805.151 ◽

2019 ◽

Vol 8 (05) ◽

pp. 1328-1334

Author(s):

S.K. Kothe ◽

B.L. Ayare ◽

H.N. Bhange ◽

S.T. Patil

Keyword(s):

Neural Network ◽

Rainfall Runoff ◽

Runoff Prediction ◽

Prediction of the karstic spring flow rates under climate change by climatic variables based on the artificial neural network: a case study of Iran

Environmental Monitoring and Assessment ◽

10.1007/s10661-020-08332-z ◽

2020 ◽

Vol 192 (6) ◽

Cited By ~ 1

Author(s):

Nejat Zeydalinejad ◽

Hamid Reza Nassery ◽

Alireza Shakiba ◽

Farshad Alijani

Keyword(s):

Neural Network ◽

Climate Change ◽

Climatic Variables ◽

Flow Rates ◽

Karstic Spring ◽

Artificial Neural ◽

Spring Flow

A model development on GIS-driven data to predict temporal daily collision through integrating Discrete Wavelet Transform (DWT) and Artificial Neural Network (ANN) algorithms; Case study: Tehran-Qazvin freeway

Geocarto International ◽

10.1080/10106049.2021.1871669 ◽

2021 ◽

pp. 1-12

Author(s):

Reza Sanayei ◽

Alireza Vafaeinejad ◽

Jalal Karami ◽

Hossein Aghamohammadi Zanjirabad

Keyword(s):

Neural Network ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Model Development ◽

Discrete Wavelet ◽

Artificial Neural ◽

Artificial Neural Network Ann

Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling

Water Resources Management ◽

10.1007/s11269-021-02818-2 ◽

2021 ◽

Author(s):

Amir Molajou ◽

Vahid Nourani ◽

Abbas Afshar ◽

Mina Khosravi ◽

Adam Brysiewicz

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Feature Selection ◽

Optimal Design ◽

Rainfall Runoff ◽

Runoff Modeling ◽

ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics ◽

An artificial neural network case study: the control of work-in-process inventory in a manufacturing line

10.1109/isie.1997.651781 ◽

2002 ◽

Cited By ~ 2

Author(s):

M. Col ◽

B. Karlik

Keyword(s):

Neural Network ◽

Manufacturing Line ◽

Work In Process ◽

A non-linear rainfall–runoff model using an artificial neural network

Journal of Hydrology ◽

10.1016/s0022-1694(98)00273-x ◽

1999 ◽

Vol 216 (1-2) ◽

pp. 32-55 ◽

Cited By ~ 219

Author(s):

N. Sajikumar ◽

B.S. Thandaveswara

Keyword(s):

Neural Network ◽

Rainfall Runoff ◽

Non Linear ◽

Artificial Neural ◽

Rainfall Runoff Model ◽

Runoff Model

A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field

Studia Geophysica et Geodaetica ◽

10.1007/s11200-015-0820-2 ◽

2015 ◽

Vol 60 (1) ◽

pp. 130-140 ◽

Cited By ~ 20

Author(s):

Sagar Singh ◽

Ali Ismet Kanli ◽

Selcuk Sevgen

Keyword(s):

Neural Network ◽

Gas Field ◽

Neural Network Method ◽

Network Method ◽

Artificial Neural Network Method ◽

Artificial Neural ◽

Porosity Estimation

An efficient improved photovoltaic irrigation system with artificial neural network based modeling of soil moisture distribution – A case study in Turkey

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2014.01.008 ◽

2014 ◽

Vol 102 ◽

pp. 120-126 ◽

Cited By ~ 21

Author(s):

Mahir Dursun ◽

Semih Özden

Keyword(s):

Neural Network ◽

Soil Moisture ◽

Irrigation System ◽

Moisture Distribution ◽

Artificial Neural ◽

Soil Moisture Distribution

Simulation of rainfall-runoff process using an artificial neural network (ANN) and field plots data

Theoretical and Applied Climatology ◽

10.1007/s00704-021-03817-4 ◽

2021 ◽

Author(s):

Vahid Gholami ◽

Hossein Sahour

Keyword(s):

Neural Network ◽

Rainfall Runoff ◽

Artificial Neural ◽

Artificial Neural Network Ann ◽

Field Plots