Implementation of Long-Short Term Memory Neural Network (LSTM) for Predicting The Water Quality Parameters in Sungai Selangor

Implementation of Long-Short Term Memory Neural Network (LSTM) for Predicting The Water Quality Parameters in Sungai Selangor

Predictions of future events must be factored into decision-making. Predictions of water quality are critical to assist authorities in making operational, management, and strategic decisions to keep the quality of water supply monitored under specific criteria. Taking advantage of the good performan...

Full description

Bibliographic Details
Main Authors: Nur Natasya Mohd Anuar, Nur Fatihah Fauzi, Huda Zuhrah Ab Halim, Nur Izzati Khairudin, Nurizatul Syarfinas Ahmad Bakhtiar, Nor Hayati Shafii
Format: Article
Language:English
Published: Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis 2021-09-01
Series:Journal of Computing Research and Innovation
Subjects:
lstm
water quality parameters
artificial neural network
monitoring stations
prediction model
Online Access:https://crinn.conferencehunter.com/index.php/jcrinn/article/view/243

Internet

https://crinn.conferencehunter.com/index.php/jcrinn/article/view/243

Similar Items