Optimised neural network model for river nitrogen prediction utilizing a new training approach

• Main Authors: Kumar, Pavitra, Sai, Hin Lai, Mohd, Nuruol Syuhadaa, Kamal, Md Rowshon, Afan, Haitham Abdulmohsin, Ahmed, Ali Najah, Sherif, Mohsen, Sefelnasr, Ahmed, El-shafie, Ahmed
• Format: Article
• Language: English
• Published: Public Library of Science 2020
• Online Access: http://psasir.upm.edu.my/id/eprint/87000/1/Optimised%20neural%20network%20model%20for%20river%20nitrogen.pdf; http://psasir.upm.edu.my/id/eprint/87000/; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0239509
• Institution: Universiti Putra Malaysia

In the past few decades, there has been a rapid growth in the concentration of nitrogenous compounds such as nitrate-nitrogen and ammonia-nitrogen in rivers, primarily due to increasing agricultural and industrial activities. These nitrogenous compounds are mainly responsible for eutrophication when...