Neural Network Modeling For Predicting Rainfall Precipitation

This project aimed at developing a back propagation neural network model to predict rainfall precipitation for Kedah. Rainfall prediction was essential in the Water Management and Control Scheme (WMCS) of Kedah as rainfall precipitation constituted more than 50% of the total water sources to the sta...

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Main Author: Teoh, Boon Wei
Format: Thesis
Language:eng
eng
Published: 2000
Subjects:
Online Access:https://etd.uum.edu.my/218/1/TEOH_BOON_WEI_-_Neural_network_modeling_for_predicting_rainfall_precipitation.pdf
https://etd.uum.edu.my/218/2/1.TEOH_BOON_WEI_-_Neural_network_modeling_for_predicting_rainfall_precipitation.pdf
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spelling my-uum-etd.2182022-06-07T04:39:39Z Neural Network Modeling For Predicting Rainfall Precipitation 2000 Teoh, Boon Wei Sekolah Siswazah Sekolah Siswazah QA76 Computer software This project aimed at developing a back propagation neural network model to predict rainfall precipitation for Kedah. Rainfall prediction was essential in the Water Management and Control Scheme (WMCS) of Kedah as rainfall precipitation constituted more than 50% of the total water sources to the state. The back propagation neural network model had been developed using C and Microsoft’s Visual Basics. The data used to train and test the network built was provided by Muda Agricultural Development Authority (MADA). Data obtained consisted of rainfall levels for a maximum of 29 years (1970-l 998) for 31 rainfall stations in Kedah. Upon completion of the training, the best network model produced prediction accuracy of 72.44% for the rainfall levels and this indicated an improvement over the regression approach of 69%. Being the first attempt at predicting the rainfall precipitation in Kedah, the project had succeeded in initiating an application in this area. Further works such as modifying the inputs and the network model could be performed to improve the prediction accuracy of the network. 2000 Thesis https://etd.uum.edu.my/218/ https://etd.uum.edu.my/218/1/TEOH_BOON_WEI_-_Neural_network_modeling_for_predicting_rainfall_precipitation.pdf text eng public https://etd.uum.edu.my/218/2/1.TEOH_BOON_WEI_-_Neural_network_modeling_for_predicting_rainfall_precipitation.pdf text eng public masters masters Universiti Utara Malaysia
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
topic QA76 Computer software
spellingShingle QA76 Computer software
Teoh, Boon Wei
Neural Network Modeling For Predicting Rainfall Precipitation
description This project aimed at developing a back propagation neural network model to predict rainfall precipitation for Kedah. Rainfall prediction was essential in the Water Management and Control Scheme (WMCS) of Kedah as rainfall precipitation constituted more than 50% of the total water sources to the state. The back propagation neural network model had been developed using C and Microsoft’s Visual Basics. The data used to train and test the network built was provided by Muda Agricultural Development Authority (MADA). Data obtained consisted of rainfall levels for a maximum of 29 years (1970-l 998) for 31 rainfall stations in Kedah. Upon completion of the training, the best network model produced prediction accuracy of 72.44% for the rainfall levels and this indicated an improvement over the regression approach of 69%. Being the first attempt at predicting the rainfall precipitation in Kedah, the project had succeeded in initiating an application in this area. Further works such as modifying the inputs and the network model could be performed to improve the prediction accuracy of the network.
format Thesis
qualification_name masters
qualification_level Master's degree
author Teoh, Boon Wei
author_facet Teoh, Boon Wei
author_sort Teoh, Boon Wei
title Neural Network Modeling For Predicting Rainfall Precipitation
title_short Neural Network Modeling For Predicting Rainfall Precipitation
title_full Neural Network Modeling For Predicting Rainfall Precipitation
title_fullStr Neural Network Modeling For Predicting Rainfall Precipitation
title_full_unstemmed Neural Network Modeling For Predicting Rainfall Precipitation
title_sort neural network modeling for predicting rainfall precipitation
granting_institution Universiti Utara Malaysia
granting_department Sekolah Siswazah
publishDate 2000
url https://etd.uum.edu.my/218/1/TEOH_BOON_WEI_-_Neural_network_modeling_for_predicting_rainfall_precipitation.pdf
https://etd.uum.edu.my/218/2/1.TEOH_BOON_WEI_-_Neural_network_modeling_for_predicting_rainfall_precipitation.pdf
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