SYSTEM-IDENTIFICATION AND REAL-TIME PATTERN-RECOGNITION BY NEURAL NETWORKS FOR AN ACTIVATED-SLUDGE PROCESS

被引：8

作者：

FU, CS

POCH, M

机构：

[1] Department of Chemical Engineering, University of Cincinnati

[2] Unitat d'Enginyeria Química, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona

来源：

ENVIRONMENT INTERNATIONAL | 1995年 / 21卷 / 01期

关键词：

D O I：

10.1016/0160-4120(94)00024-2

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This study introduces the application of a neural network method to estimate chemical oxygen demand (COD) in a wastewater treatment process. It presents the back propagation algorithm with a generalized sigmoid function in detail. Several simulations were investigated in order to select suitable learning rates and relative coefficients in the network for accelerating the speed of convergence in learning. The results of simulation to estimate real sampling data of COD for a specific real world wastewater treatment process are explained.

引用

页码：57 / 69

页数：13

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