The use of radial basis function and non-linear autoregressive exogenous neural networks to forecast multi-step ahead of time flood water level

The use of radial basis function and non-linear autoregressive exogenous neural networks to forecast multi-step ahead of time flood water level

Many different Artificial Neural Networks (ANN) models of flood have been developed for forecast updating. However, the model performance, and error prediction in which forecast outputs are adjusted directly based on models calibrated to the time series of differences between observed and forecast v...

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Bibliographic Details
Main Authors: Amrul Faruq, Shahrum Shah Abdullah, Aminaton Marto, Mohd Anuar Abu Bakar, Shamsul Faisal Mohd Hussein, Che Munira Che Razali
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2019-03-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
Floods
Forecasting
Radial basis function
NARX
Artificial neural networks
Online Access:http://ijain.org/index.php/IJAIN/article/view/280

Internet

http://ijain.org/index.php/IJAIN/article/view/280

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