DocumentCode
2485230
Title
New modeling of cold circulating fluidized bed using neural networks
Author
Davari, Asad ; Koduru, Praveen ; Patankar, Amol
Author_Institution
Electr. Eng. Dept, WVU Tech, Montgomery, AL, USA
Volume
13
fYear
2002
fDate
2002
Firstpage
201
Lastpage
206
Abstract
Circulating fluidized beds (CFB) are a relatively new method of forcing chemical reactions to occur in chemical and petroleum industries. In the absence of conventional means to derive a reliable model, we have devised a model of the CFB using neural networks, which have the ability to characterize such complex systems.
Keywords
backpropagation; chemical industry; chemical reactions; fluidised beds; gradient methods; multilayer perceptrons; petroleum industry; simulation; Levenberg-Marquardt method; backpropagation; chemical industries; chemical reactions; circulating fluidized bed; gradient descent method; modeling; multilayer perceptron; neural networks; petroleum industries; Backpropagation algorithms; Chemical engineering; Combustion; Control systems; Fluidization; Neural networks; Neurons; Reliability engineering; Supervised learning; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Congress, 2002 Proceedings of the 5th Biannual World
Print_ISBN
1-889335-18-5
Type
conf
DOI
10.1109/WAC.2002.1049545
Filename
1049545
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