Nexus of Water Quality prediction by ANN

Abstract

Various contaminants, threatened water quality in recent years. Predicting and model construction for checking water quality have become crucial to control water pollution. Parameters such as water quality indexing (WQI) and water quality categorization has taken for measuring the level of quality. Artificial neural network models (ANN by NARNET and long short-term memory (LSTM) deep learning algorithm, usedto predict water quality indexing. For WQC forecasting, three machine learning techniques is applied to analysis seven water quality factors. Performance of Water quality estimation is compared in both NARAT and LSTM in terms of accuracy.