JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
Print ISSN : 0021-9592
Particle Technology and Fluidization
Nonlinear Modeling of Chaotic Dynamics in a Circulating Fluidized Bed by an Artificial Neural Network
YOSHIMITSU NAKAJIMARYUJI KIKUCHIKOJI KURAMOTOATSUSHI TSUTSUMIKENTARO OTAWARA
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2001 Volume 34 Issue 2 Pages 107-113

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Abstract

In this study, an artificial neural network (ANN) was trained to model dynamic behavior of pressure fluctuations measured in a circulating fluidized bed with a riser having an inner diameter of 0.10 m and a height of 10 m. The ability of the neural network model to approximate the dynamic behavior is examined by comparing time-averaged characteristics, power spectra, and chaotic features of time series measured and generated by the ANN. It is found that dynamic behavior of the original time series is captured well by the ANN, and that the ability of the ANN for generation improves with the number of iterations.

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© 2001 The Society of Chemical Engineers, Japan
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