Application of neural networks to mass-t
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Piroz Zamankhan; Pekka Malinen; Hannu LepomΓ€ki
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Article
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1997
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American Institute of Chemical Engineers
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English
β 626 KB
In this study back-propagation, feed-forward neural networks are applied to estimate mass-transfer parameters in fast fluidized beds of fine solids. These networks are trained to predict mass-transfer rates using measurements of the sublimation rate of coarse naphthalene balls in fast fluidized beds