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MODELLING WATER TREATMENT PROCESS BY ARTIFICAL NEURAL NETWORK

Nguyen Ky Phung 1
Nguyen Khoa Viet Truong 1
Volume & Issue: Vol. 10 No. 1 (2007) | Page No.: 87-95 | DOI: 10.32508/stdj.v10i1.2748
Published: 2007-01-31

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

Recently, Artificial Neural Networks (ANNs) are applied widely. This article presents an application of ANN on environmental Engineering. Research includes (i) Review of wastewater treatment processes modeling, (ii) Brief of theory of Artificial Neural Network, (iii) Case study. The predicting results are rather small with MAE = 0.136055 and RMSE = 0.084701, this MatLab based program with some innovated characteristics can be applied for predicting of the outputs of a wastewater treatment plant reliably.

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