Application of fuzzy causal networks to waste water treatment plants

被引：27

作者：

Huang, YC ^{[1
]}

Wang, XZ ^{[1
]}

机构：

[1] Univ Leeds, Dept Chem Engn, Leeds LS2 9JT, W Yorkshire, England

来源：

CHEMICAL ENGINEERING SCIENCE | 1999年 / 54卷 / 13-14期

关键词：

fuzzy causal networks; fuzzy signed directed graphs (fuzzy-SDG); wastewater treatment plants;

D O I：

10.1016/S0009-2509(98)00421-7

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

A graphical model, the extended fuzzy causal network is introduced and applied to a case study of waste water treatment plants. The structure of the network is developed using parameter sensitivity studies and the relationships between connected parameters are obtained using a learning approach adapted from fuzzy neural networks. The graphical model is shown to be able to translate the complex inter-relationships between process parameters into an easily understood form. Comparisons of the approach with neural and fuzzy neural networks are also made. (C) 1999 Elsevier Science Ltd. All rights reserved.

引用

页码：2731 / 2738

页数：8

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