Artificial neural network for modelling rainfall-runoff
The use of an artificial neural network (ANN) is becoming common due to its ability to analyse complex nonlinear events. An ANN has a flexible, convenient and easy mathematical structure to identify the nonlinear relationships between input and output data sets. This capability could efficiently be...
Main Authors: | Tayebiyan, Aida, Mohammad, Thamer Ahmad, Ghazali, Abdul Halim, Mashohor, Syamsiah |
---|---|
Format: | Article |
Language: | English |
Published: |
Universiti Putra Malaysia Press
2016
|
Online Access: | http://psasir.upm.edu.my/id/eprint/29458/1/07%20JST-0566-2015.pdf |
Similar Items
-
Potential impacts of climate change on precipitation and temperature at Jor Dam Lake
by: Tayebiyan, Aida, et al.
Published: (2016) -
Potential impact of global warming on river runoff coming to Jor reservoir, Malaysia by integration of LARS-WG with artificial neural networks
by: Aida Tayebiyan, et al.
Published: (2019-06-01) -
Rainfall-runoff modelling using artificial neural network
by: Harun, Sobri, et al.
Published: (2001) -
Artificial Neural Network Model For Rainfall-Runoff Relationship
by: Harun, Sobri, et al.
Published: (2002) -
Rainfall-runoff modelling using artificial neural network /
by: 212411 Sobri Harun, et al.
Published: (2002)