UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2205702


Registration ID:
402693

Page Number

g12-g32

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Title

Machine Learning Based Water Quality Prediction Model

Abstract

Now a days many people are suffering from dangerous diseases which are caused due to impure water. In our project we are doing analysis for quality of water monitoring system, it gives data about the quality of water. We are about the water quality prediction using the machine learning algorithm. The deteriorating quality of natural water resources like lakes and streams , is one of the direst and most worrisome issues faced by humanity. The effects of un-clean water are far-reaching, impacting every aspect of life. Therefore, management of water resources is very crucial in order to optimize the quality of water. The effects of water contamination can be tackled efficiently if data is analyzed and water quality is predicted beforehand. This issue has been addressed in many previous researches, however, more work needs to be done in terms of effectiveness, reliability, accuracy as well as usability of the current water quality management methodologies. The goal of this study is to develop a water quality prediction model with the help of water quality factors using Artificial Neural Network (ANN) and time-series analysis. This research uses the water quality historical data of the year of 2014, with 6-minutes time interval. Data is obtained from the kaggle online resource called National Water Information System (NWIS). For this paper, the data includes the measurements of parameters which affect and influence water quality. For the purpose of evaluating the performance of model, the performance evaluation measures used are Mean-Squared Error (MSE), Root Mean-Squared Error (RMSE) and Regression Analysis. Previou

Key Words

Keywords - Parameter, Accuracy, Heatmap Generation, Time series analysis

Cite This Article

"Machine Learning Based Water Quality Prediction Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.g12-g32, May-2022, Available :http://www.jetir.org/papers/JETIR2205702.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Machine Learning Based Water Quality Prediction Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppg12-g32, May-2022, Available at : http://www.jetir.org/papers/JETIR2205702.pdf

Publication Details

Published Paper ID: JETIR2205702
Registration ID: 402693
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: g12-g32
Country: Coimbatore, Tamil nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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