Forecasting the Water Quality Class in a river basin using an artificial neural network with the softmax activation function

• Main Authors: Azhar, Shah Christirani, Aris, Ahmad Zaharin, Yusoff, Mohd Kamil, Ramli, Mohammad Firuz
• Format: Article
• Published: Asian Research Publishing Network (ARPN) 2019
• Online Access: http://psasir.upm.edu.my/id/eprint/79938/; https://medwelljournals.com/abstract/?doi=jeasci.2019.8585.8593
• Institution: Universiti Putra Malaysia

Classification of river water quality needs an efficient method to reduce energy, save time and decrease the risk of errors. This study describes the application of an Artificial Neural Network (ANN) with the softmax activation function to forecast the Water Quality Class (WQC) under the National Wa...