APPLICATION OF A MULTILAYERED NEURAL-NETWORK TO SYSTEM-IDENTIFICATION

被引：3

作者：

FU, CS

POCH, M

机构：

[1] Unitat d’Enginyeria Química, Universitat Autònoma de Barcelona, Barcelona, 08193, Bellaterra

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 1993年 / 24卷 / 08期

关键词：

Multilayered neural networks - Neural network method - Neural network parameters - Real-world - Wastewater treatment process;

D O I：

10.1080/00207729308949583

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A study on the application of the neural network method to estimate chemical oxygen demand (COD) in a wastewater treatment process is introduced after presenting the back propagation algorithm, one of the most typical algorithms of neural networks, in detail. Several types of simulation have been tried in order to select suitable neural network parameters. The results of simulation to estimate real sampling COD data for a specific real-world wastewater treatment process shows that our method is promising.

引用

页码：1601 / 1609

页数：9

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