Development of forecasting in Sungai Muda, Kuala Muda, Kedah by utilizing artificial neural network (ANN)

This report deals with flood problem which is usually happened in Malaysia when it coincides with monsoon and gave harm and damages to human life, as it had took many lives each time it happens. A case study of flood is going to be conduct to analyze the pattern of water level and to determine other...

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Main Author:	Nurul Murshida, Mohd Sabri
Format:	Undergraduates Project Papers
Language:	English English English
Published:	2015
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/11945/ http://umpir.ump.edu.my/id/eprint/11945/ http://umpir.ump.edu.my/id/eprint/11945/1/FKKSA%20-%20NURUL%20MURSHIDA%20BT%20MOHD%20SABRI%20%28CD9344%29.pdf http://umpir.ump.edu.my/id/eprint/11945/2/FKKSA%20-%20NURUL%20MURSHIDA%20BT%20MOHD%20SABRI%20%28CD9344%29%20-%20CHAP%201.pdf http://umpir.ump.edu.my/id/eprint/11945/3/FKKSA%20-%20NURUL%20MURSHIDA%20BT%20MOHD%20SABRI%20%28CD9344%29%20-%20CHAP%203.pdf

id	ump-11945
recordtype	eprints
spelling	ump-119452016-03-17T01:59:43Z http://umpir.ump.edu.my/id/eprint/11945/ Development of forecasting in Sungai Muda, Kuala Muda, Kedah by utilizing artificial neural network (ANN) Nurul Murshida, Mohd Sabri TA Engineering (General). Civil engineering (General) This report deals with flood problem which is usually happened in Malaysia when it coincides with monsoon and gave harm and damages to human life, as it had took many lives each time it happens. A case study of flood is going to be conduct to analyze the pattern of water level and to determine other causes that contributes to the flood. The main aim of the study is to minimize the effect of flood problems. It is also used to develop high accuracy model utilizing Artificial Neural Network (ANN) in predicting flood. Furthermore, it used to forecast flood occasion in the study area of station number of 5606410 of Sungai Muda (Jambatan Syed Omar) which is the main river that supplies water to Kedah and Penang. Besides, it used to investigate whether water level data alone can be used to produce modelling and to determine whether ANN is functioning in the forecasting. In this case study, a computational model will be used to stimulate the input data and generate the result, which is called Artificial Neural Network. ANN, which are modelled on the operating behaviour of the brain, are tolerant of some imprecision and are especially useful for classification and function approximation or mapping problems, to which hard and fast rules cannot be applied easily. The terminology of artificial neural networks has created form an organic biological model of neural system, which it comprises an asset of joined cells, the neurons. The neurons receive impulses or response from either input cells or any other neurons. It will perform some kind of transformation of the input and then, it will transfer the outcome to other neurons or also known as output cells. The neural networks are developed from many layers of connected neurons. The result showed that input 7+1 had the highest NSC value of 0.979 with RMSE value of 288.332 for 6 hour interval time, while input 6+1 had the highest NSC value of 0.977 with RMSE value of 134.801 for 3 hour interval time. In conclusion, this research contributes toward the development of forecasting using Artificial Neural Network for flood problems. 2015-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11945/1/FKKSA%20-%20NURUL%20MURSHIDA%20BT%20MOHD%20SABRI%20%28CD9344%29.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/11945/2/FKKSA%20-%20NURUL%20MURSHIDA%20BT%20MOHD%20SABRI%20%28CD9344%29%20-%20CHAP%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/11945/3/FKKSA%20-%20NURUL%20MURSHIDA%20BT%20MOHD%20SABRI%20%28CD9344%29%20-%20CHAP%203.pdf Nurul Murshida, Mohd Sabri (2015) Development of forecasting in Sungai Muda, Kuala Muda, Kedah by utilizing artificial neural network (ANN). Faculty of Civil Engineering & Earth Resources, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:92313&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Nurul Murshida, Mohd Sabri Development of forecasting in Sungai Muda, Kuala Muda, Kedah by utilizing artificial neural network (ANN)
description	This report deals with flood problem which is usually happened in Malaysia when it coincides with monsoon and gave harm and damages to human life, as it had took many lives each time it happens. A case study of flood is going to be conduct to analyze the pattern of water level and to determine other causes that contributes to the flood. The main aim of the study is to minimize the effect of flood problems. It is also used to develop high accuracy model utilizing Artificial Neural Network (ANN) in predicting flood. Furthermore, it used to forecast flood occasion in the study area of station number of 5606410 of Sungai Muda (Jambatan Syed Omar) which is the main river that supplies water to Kedah and Penang. Besides, it used to investigate whether water level data alone can be used to produce modelling and to determine whether ANN is functioning in the forecasting. In this case study, a computational model will be used to stimulate the input data and generate the result, which is called Artificial Neural Network. ANN, which are modelled on the operating behaviour of the brain, are tolerant of some imprecision and are especially useful for classification and function approximation or mapping problems, to which hard and fast rules cannot be applied easily. The terminology of artificial neural networks has created form an organic biological model of neural system, which it comprises an asset of joined cells, the neurons. The neurons receive impulses or response from either input cells or any other neurons. It will perform some kind of transformation of the input and then, it will transfer the outcome to other neurons or also known as output cells. The neural networks are developed from many layers of connected neurons. The result showed that input 7+1 had the highest NSC value of 0.979 with RMSE value of 288.332 for 6 hour interval time, while input 6+1 had the highest NSC value of 0.977 with RMSE value of 134.801 for 3 hour interval time. In conclusion, this research contributes toward the development of forecasting using Artificial Neural Network for flood problems.
format	Undergraduates Project Papers
author	Nurul Murshida, Mohd Sabri
author_facet	Nurul Murshida, Mohd Sabri
author_sort	Nurul Murshida, Mohd Sabri
title	Development of forecasting in Sungai Muda, Kuala Muda, Kedah by utilizing artificial neural network (ANN)
title_short	Development of forecasting in Sungai Muda, Kuala Muda, Kedah by utilizing artificial neural network (ANN)
title_full	Development of forecasting in Sungai Muda, Kuala Muda, Kedah by utilizing artificial neural network (ANN)
title_fullStr	Development of forecasting in Sungai Muda, Kuala Muda, Kedah by utilizing artificial neural network (ANN)
title_full_unstemmed	Development of forecasting in Sungai Muda, Kuala Muda, Kedah by utilizing artificial neural network (ANN)
title_sort	development of forecasting in sungai muda, kuala muda, kedah by utilizing artificial neural network (ann)
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/11945/ http://umpir.ump.edu.my/id/eprint/11945/ http://umpir.ump.edu.my/id/eprint/11945/1/FKKSA%20-%20NURUL%20MURSHIDA%20BT%20MOHD%20SABRI%20%28CD9344%29.pdf http://umpir.ump.edu.my/id/eprint/11945/2/FKKSA%20-%20NURUL%20MURSHIDA%20BT%20MOHD%20SABRI%20%28CD9344%29%20-%20CHAP%201.pdf http://umpir.ump.edu.my/id/eprint/11945/3/FKKSA%20-%20NURUL%20MURSHIDA%20BT%20MOHD%20SABRI%20%28CD9344%29%20-%20CHAP%203.pdf
first_indexed	2023-09-18T22:13:02Z
last_indexed	2023-09-18T22:13:02Z
_version_	1777415154878644224

Development of forecasting in Sungai Muda, Kuala Muda, Kedah by utilizing artificial neural network (ANN)

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