Nonlinear Modeling of Chaotic Dynamics in a Circulating Fluidized Bed by an Artificial Neural Network
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概要
- 論文の詳細を見る
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.
- 社団法人 化学工学会の論文
著者
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Tsutsumi Atsushi
Department Of Chemical Engineering University Of Tokyo
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Kuramoto K
Department Of Chemical System Engineering The University Of Tokyo
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KURAMOTO Koji
Department of Chemical System Engineering, The University of Tokyo
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Otawara Kentaro
Project Department 1 Project Management Division Kureha Techno Eng. Co.
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KIKUCHI Ryuji
Department of Energy and Hydrocarbon Chemistry, Graduate School of Engineering, Kyoto University
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NAKAJIMA Yoshimitsu
Department of Chemical System Engineering, The University of Tokyo
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Kikuchi Ryuji
Department Of Chemical System Engineering Graduate School Of Engineering The University Of Tokyo
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Kikuchi Ryuji
Department Of Chemical System Engineering The University Of Tokyo
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Nakajima Yoshimitsu
Department Of Chemical System Engineering The University Of Tokyo
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