Fuzzy neural networks and application to the FBC process

被引：18

作者：

Ikonen, E

Najim, K

机构：

[1] Institut National Polytechnique de Toulouse, Ecole National Supérieure d'Ingénieurs de Génie Chimique, 31078 Toulouse Cédex, 18, Chemin de la Loge

来源：

IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS | 1996年 / 143卷 / 03期

关键词：

neural nets; fuzzy systems; process models; thermal plants; fluidised bed;

D O I：

10.1049/ip-cta:19960258

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Implementation of fuzzy systems using multilayer perceptron artificial neural networks is considered, and detailed equations for training the network are derived. Models for the fluidised bed nitrogen emissions are created using linear regression, multilayer perceptron neural networks, and fuzzy neural networks to illustrate and compare the behaviour of the algorithms.

引用

页码：259 / 269

页数：11

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