Use of Evolutionary Polynomial Regression (EPR) for Prediction of Total Sediment Load of Malaysian Rivers

This study investigates the use of Evolutionary Polynomial Regression (EPR) for predicting the total sediment load of Malaysian rivers. EPR is a data-driven modelling hybrid technique, based on evolutionary computing, that has been recently used successfully in solving many problems in civil enginee...

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Main Authors:	Nadiatul Adilah, Ahmad Abdul Ghani, Mohamed, A. Shahin, Hamid, R. Nikraz
Format:	Article
Language:	English
Published:	2012
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/3220/ http://umpir.ump.edu.my/id/eprint/3220/1/IJE-398.pdf

id	ump-3220
recordtype	eprints
spelling	ump-32202018-02-05T02:10:49Z http://umpir.ump.edu.my/id/eprint/3220/ Use of Evolutionary Polynomial Regression (EPR) for Prediction of Total Sediment Load of Malaysian Rivers Nadiatul Adilah, Ahmad Abdul Ghani Mohamed, A. Shahin Hamid, R. Nikraz TA Engineering (General). Civil engineering (General) This study investigates the use of Evolutionary Polynomial Regression (EPR) for predicting the total sediment load of Malaysian rivers. EPR is a data-driven modelling hybrid technique, based on evolutionary computing, that has been recently used successfully in solving many problems in civil engineering. In order to apply the method for modelling the total sediment of Malaysian rivers, an extensive database obtained from the Department of Irrigation and Drainage (DID),Ministry of Natural Resources & Environment, Malaysia was sought, and unrestricted access was granted. A robustness study was performed in order to confirm the generalisation ability of the developed EPR model, and a sensitivity analysis was also conducted to determine the relative importance of model inputs. The results obtained from the EPR model were compared with those obtained from six other available sediment load prediction models. The performance of the EPR model demonstrates its predictive capability and generalisation ability to solve highly nonlinear problems of river engineering applications, such as sediment. Moreover, the EPR model produced reasonably improved results compared to those obtained from the other available sediment load methods. 2012 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3220/1/IJE-398.pdf Nadiatul Adilah, Ahmad Abdul Ghani and Mohamed, A. Shahin and Hamid, R. Nikraz (2012) Use of Evolutionary Polynomial Regression (EPR) for Prediction of Total Sediment Load of Malaysian Rivers. International Journal of Engineering, 6 (5). pp. 265-277.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Nadiatul Adilah, Ahmad Abdul Ghani Mohamed, A. Shahin Hamid, R. Nikraz Use of Evolutionary Polynomial Regression (EPR) for Prediction of Total Sediment Load of Malaysian Rivers
description	This study investigates the use of Evolutionary Polynomial Regression (EPR) for predicting the total sediment load of Malaysian rivers. EPR is a data-driven modelling hybrid technique, based on evolutionary computing, that has been recently used successfully in solving many problems in civil engineering. In order to apply the method for modelling the total sediment of Malaysian rivers, an extensive database obtained from the Department of Irrigation and Drainage (DID),Ministry of Natural Resources & Environment, Malaysia was sought, and unrestricted access was granted. A robustness study was performed in order to confirm the generalisation ability of the developed EPR model, and a sensitivity analysis was also conducted to determine the relative importance of model inputs. The results obtained from the EPR model were compared with those obtained from six other available sediment load prediction models. The performance of the EPR model demonstrates its predictive capability and generalisation ability to solve highly nonlinear problems of river engineering applications, such as sediment. Moreover, the EPR model produced reasonably improved results compared to those obtained from the other available sediment load methods.
format	Article
author	Nadiatul Adilah, Ahmad Abdul Ghani Mohamed, A. Shahin Hamid, R. Nikraz
author_facet	Nadiatul Adilah, Ahmad Abdul Ghani Mohamed, A. Shahin Hamid, R. Nikraz
author_sort	Nadiatul Adilah, Ahmad Abdul Ghani
title	Use of Evolutionary Polynomial Regression (EPR) for Prediction of Total Sediment Load of Malaysian Rivers
title_short	Use of Evolutionary Polynomial Regression (EPR) for Prediction of Total Sediment Load of Malaysian Rivers
title_full	Use of Evolutionary Polynomial Regression (EPR) for Prediction of Total Sediment Load of Malaysian Rivers
title_fullStr	Use of Evolutionary Polynomial Regression (EPR) for Prediction of Total Sediment Load of Malaysian Rivers
title_full_unstemmed	Use of Evolutionary Polynomial Regression (EPR) for Prediction of Total Sediment Load of Malaysian Rivers
title_sort	use of evolutionary polynomial regression (epr) for prediction of total sediment load of malaysian rivers
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/3220/ http://umpir.ump.edu.my/id/eprint/3220/1/IJE-398.pdf
first_indexed	2023-09-18T21:57:20Z
last_indexed	2023-09-18T21:57:20Z
_version_	1777414166658678784

Use of Evolutionary Polynomial Regression (EPR) for Prediction of Total Sediment Load of Malaysian Rivers

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