Simulation of an industrial wastewater treatment plant using artificial neural networks

被引：80

作者：

Gontarski, CA

Rodrigues, PR

Mori, M

Prenem, LF

机构：

[1] UNICAMP, FEQ, DPQ, LMSPQ,Ctr Politecn, BR-13081970 Campinas, SP, Brazil

[2] Rhodiaco Ind Quim Ltda, BR-13140000 Paulinia, SP, Brazil

[3] UNICAMP, FEQ, DPQ, LMSPQ, BR-13081970 Campinas, SP, Brazil

来源：

COMPUTERS & CHEMICAL ENGINEERING | 2000年 / 24卷 / 2-7期

关键词：

prediction of environmental properties; wastewater treatment; neural network application;

D O I：

10.1016/S0098-1354(00)00449-X

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This work presents a way to predict the environmental properties of the output stream from the wastewater treatment plant at Rhodiaco Ltda, one of the major chemical plants in Brazil. The industrial plant produces purified terephtalic acid and generates wastewater that should be treated in an activated sludge system. The influence of input variables is analyzed. and satisfactory predicted results are obtained for an optimized situation. (C) 2000 Elsevier Science Ltd. All rights reserved.

引用

页码：1719 / 1723

页数：5

共 7 条

[1]

BHAT NV, 1990, IEEE CONTROL SYSTEMS, V10

[2]

BLASEI J, 1992, INTECH APLLYING TECH, P34

[3]

CAUDILL M, 1991, AI EXPERT

[4]

GONTARSKI CA, 1999, AN 2 C ENG PROC MERC