Implementation of long-short term memory neural network (LSTM) for predicting the water quality parameters in Sungai Selangor / Nur Natasya Mohd Anuar ... [et al.]

• Main Authors: Mohd Anuar, Nur Natasya, Fauzi, Nur Fatihah, Ab Halim, Huda Zuhrah, Khairudin, Nur Izzati, Ahmad Bakhtiar, Nurizatul Syarfinas, Shafii, Nor Hayati
• Format: Article
• Language: English
• Published: UiTM Cawangan Perlis 2021
• Subjects: Neural networks (Computer science); Qualities of water. Water quality
• Online Access: https://ir.uitm.edu.my/id/eprint/60630/1/60630.pdf; https://ir.uitm.edu.my/id/eprint/60630/; https://crinn.conferencehunter.com/
• Institution: Universiti Teknologi Mara

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...