RIS ID
10600
Abstract
This paper presents case studies of applications of artificial neural network (ANN) to water industry including water treatment, water quality and water consumption. Overall, ANN was found to be superior to time series and multiple regression analysis for most applications. At the same time, however, ANN is a data driven model, so care has to be taken in preparing data for ANN models. Limitations of the current ANN study to coagulant dosages in water treatment plants are presented and further ANN improvements in this field are in progress.
Publication Details
Mi, X., Sivakumar, M. & Hagare, D. (2004). A general review of applications of artificial neural network to water industry. In M. Mowlaei, A. Rose & J. Lamborn (Eds.), Environmental Sustainability through Multidisciplinary Integration (pp. 234-243). Australia: Environmental Engineering Research Event.