Water Quality Parameter Prediction Using Machine Learning Method

FYP Sem 2 2019/2020

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Main Author: Muhammad Shaiful Bin Abdul Halim
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Published: 2023
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spelling my.uniten.dspace-214362023-05-04T16:05:23Z Water Quality Parameter Prediction Using Machine Learning Method Muhammad Shaiful Bin Abdul Halim Water Environment Nitrite FYP Sem 2 2019/2020 This thesis reports the use of machine learning method in predicting the water quality parameter by using machine learning software. Selected algorithm are used to generates a model and by inserting the input values, the model can produce the output. The accuracy of the model was determined by the correct and appropriate number of neuron numbers, value of Mean Square Error (MSE) and the value of regression (R). The closer the MSE value to zero, the more accurate the model and the closer the R value to one, the higher the correlation between the input and the output. This thesis also shows the use of Neural Network Fitting application in the Matlab software that consists of three types of training algorithm which is Levenberg-Marquardt, Bayesian Regularization and Scaled Conjugate Gradient. Training algorithm are chosen depending on several criteria such as the value and difficulty of the data and also the time to train and produce the model. The development of the model can bring significant boost to the modern water quality parameter prediction method and to the water quality itself. Further study on introducing more challenging input data could be done to maximize the efficiency of the model in the future. 2023-05-03T16:53:30Z 2023-05-03T16:53:30Z 2020-02 https://irepository.uniten.edu.my/handle/123456789/21436 application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Water
Environment
Nitrite
spellingShingle Water
Environment
Nitrite
Muhammad Shaiful Bin Abdul Halim
Water Quality Parameter Prediction Using Machine Learning Method
description FYP Sem 2 2019/2020
format
author Muhammad Shaiful Bin Abdul Halim
author_facet Muhammad Shaiful Bin Abdul Halim
author_sort Muhammad Shaiful Bin Abdul Halim
title Water Quality Parameter Prediction Using Machine Learning Method
title_short Water Quality Parameter Prediction Using Machine Learning Method
title_full Water Quality Parameter Prediction Using Machine Learning Method
title_fullStr Water Quality Parameter Prediction Using Machine Learning Method
title_full_unstemmed Water Quality Parameter Prediction Using Machine Learning Method
title_sort water quality parameter prediction using machine learning method
publishDate 2023
_version_ 1806424573718036480
score 13.18916