WATER QUALITY PREDICTION USING ARTIFICIAL NEURAL NETWORK

Abstract

WATER QUALITY PREDICTION USING ARTIFICIAL NEURAL NETWORK is a predition system for predicting the quality of water.This system predicts the water is useful for human conception or not.Water quality is a crucial aspect of ensuring public health and safety. The accurate prediction of water quality parameters can aid in the effective management of water resources.Water is used for various purpose like drinking,agriculture,business etc.Water quality prediction become an essential part in nowadays. In recent years, machine learning and deep learning models have shown promising results in predicting water quality parameters.The proposed system use MultiLayer Perceptron Neural Network for train the model.Also the system make the use of machine learning classification algorithms such as Decision Tree,Random Forest,SVM and KNN to train the model.Machine learning classification algorithms are used for analyzing the performance best algorithm with MLP.The main objective of the system is to create an easy to use water quality prediction tool