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
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;
Conference_Titel :
Automation Congress, 2002 Proceedings of the 5th Biannual World
Print_ISBN :
1-889335-18-5
DOI :
10.1109/WAC.2002.1049545
