New modeling of cold circulating fluidized bed using neural networks

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...

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Bibliographische Detailangaben
Hauptverfasser:	Davari, A., Koduru, P., Patankar, A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Backpropagation algorithms Chemical engineering Combustion Control systems Fluidization Neural networks Neurons Reliability engineering Supervised learning Systems engineering and theory
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Beschreibung
Zusammenfassung:	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.
DOI:	10.1109/WAC.2002.1049545