Study on the Mean Value of Particle Concentration Signal in Silicon Power Fluidized Bed

Xing Yong Liu; Hu Yang; You Cheng Wang; Zhuo Xu Deng

doi:10.4028/www.scientific.net/AMR.550-553.2936

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 550-553Study on the Mean Value of Particle Concentration...

Study on the Mean Value of Particle Concentration Signal in Silicon Power Fluidized Bed

Abstract:

The particle concentration signals of silicon powder in the fluidizing gas i.e. air under different operating conditions were determined. The diameter of silicon particles, operating velocity, radial distance and axial distance are used as input vector; the mean value of particle concentration signal in the silicon power fluidized bed is used as a target vector. The RBF neural network is applied to build the predicted model of the mean value in silicon power fluidized bed. The result shows that the prediction of mean value through the RBF neural network is prior to that by BP neural network, and its error is less than 0.2%.

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Periodical:

Advanced Materials Research (Volumes 550-553)

Pages:

2936-2940

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.550-553.2936

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Online since:

July 2012

Authors:

Xing Yong Liu, Hu Yang, You Cheng Wang, Zhuo Xu Deng

Keywords:

Fluidized Bed, Mean Value, Particle Concentration Signal, Prediction, RBF Neural Network

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