River Bedup catchment water level prediction using pre-developed ANN Model of Siniawan catchment
This study proposes the application of Artificial Neural Network (ANN) in the prediction of hourly water level under tidal influence for Sadong Basin. An ANN is undoubtedly a robust tool for forecasting various non-linear hydrologic processes, including the water level prediction.
Saved in:
Main Author: | Bustami, R. |
---|---|
Format: | E-Article |
Language: | English |
Published: |
Universiti Malaysia Sarawak, (UNIMAS)
2011
|
Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/3119/1/River%20Bedup%20catchment%20water%20level%20prediction%20using%20pre-developed%20ANN%20Model%20of%20Siniawan%20catchment.pdf http://ir.unimas.my/id/eprint/3119/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hourly water level prediction of sungai bedup catchement using pre-developed ANNs model from Siniawan catchment
by: Hong,, Calvin Chiao Chun
Published: (2009) -
Artificial neural network for precipitation and water level predictions of Bedup River
by: Bustami, R., et al.
Published: (2007) -
Rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment
by: Awangku Faizal Sallehin, Awangku Brahim
Published: (2009) -
Water catchment area and management method
by: Ibrahim Abdullah Abu Ala, Alfituri, et al.
Published: (2020) -
Assesment of Water Availabality from Lenggong Catchment
by: Adlan, M.N., et al.
Published: (2009)