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

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...

全面介绍

Saved in:
书目详细资料
Main Authors: Azhar, Shah Christirani, Aris, Ahmad Zaharin, Yusoff, Mohd Kamil, Ramli, Mohammad Firuz
格式: Article
出版: Asian Research Publishing Network (ARPN) 2019
标签: 添加标签
没有标签, 成为第一个标记此记录!