Real-Time Food Forecasting by Employing Artificial Neural Network based Model with Zoning Matching Approach
Flood forecasting models are a necessity, as they help in planning for flood events, and thus help prevent loss of lives and minimize damage. At present, artificial neural networks(ANN)havebeensuccessfullyappliedinriverflowandwaterlevelforecasting studies. ANN requires historical data to develop a fore...
Main Authors: | Muhammad @ S A Khushren, Sulaiman, Ahmed, El-Shafie, Othman, Karim, Hassan, Basri |
---|---|
Format: | Article |
Language: | English |
Published: |
European Geosciences Union
2011
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/14001/ http://umpir.ump.edu.my/id/eprint/14001/ http://umpir.ump.edu.my/id/eprint/14001/ http://umpir.ump.edu.my/id/eprint/14001/1/Real-time%20flood%20forecasting%20by%20employing.pdf |
Similar Items
-
Water level forecasting model using improved artificial neural network architecture
by: Muhammad @ S. A. Khushren, Sulaiman
Published: (2012) -
Flood forecasting using artificial neural network (ANN) in Maran, Pahang
by: Nur Atiyah Dinie, Mat Arifin
Published: (2014) -
A study on flood forecasting at Sungai Lembing using artificial neural network
by: Siti Noor Alina, Mohd Zulkaply
Published: (2014) -
Water level forecasting using artificial neural network in sungai Pahang, Temerloh
by: Ainul Afifah, Zakaria
Published: (2014) -
The town planners’ perspective: development plan towards sustainable coastal management in Malaysia
by: Asmawi, M. Zainora, et al.
Published: (2008)