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The 12th International Conference on Fluidization - New Horizons in Fluidization Engineering
May 13-17, 2007 - Vancouver, Canada
| Editors: |
Franco Berruti, The University of Western Ontario, London, Canada
Xiaotao (Tony) Bi, The University of British Columbia, Vancouver, Canada
Todd Pugsley, University of Saskatchewan, Saskatoon, Saskatchewan, Canada |
The articles for these proceedings are peer-reviewed.
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Prediction of the Dynamics of a Fluidized Bed Reactor using Artificial Neural Networks
Shayan Karimipour, University of Tehran
Navid Mostoufi, University of Tehran
Rahmat Sotudeh -Gharebagh, University of Tehran
ABSTRACT:
The dynamic behavior of fluidized bed has been studied based on the chaos theory. The experiments were done in a fluidized bed of 0.15 m diameter using an optical fiber probe. The interval between successive clusters in the fluidized bed were calculated from the time series signals and proved to be chaotic by calculating the correlation dimension. An artificial neural network (ANN) was adapted and trained to predict the generated time series. The ANN results were compared with the predictions of the k-Nearest Neighbor (kNN) method to show the superiority of ANN in chaotic time series prediction.
Shayan Karimipour, Navid Mostoufi, and Rahmat Sotudeh -Gharebagh, "Prediction of the Dynamics of a Fluidized Bed Reactor using Artificial Neural Networks" in "The 12th International Conference on Fluidization - New Horizons in Fluidization Engineering", Franco Berruti, The University of Western Ontario, London, Canada
Xiaotao (Tony) Bi, The University of British Columbia, Vancouver, Canada
Todd Pugsley, University of Saskatchewan, Saskatoon, Saskatchewan, Canada Eds, ECI
Symposium Series, Volume RP4 (2007). http://services.bepress.com/eci/fluidization_xii/88
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