Predicting Model in the Smelting Magnesium by Silicon-Thermo-Reduction Based on Artificial Neural Network

Abstract:

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This paper described the application of neural networks in predicting the rate of producing magnesium by silicon-thermo-reduction. Fir st of all, a mathematical model between the process parameters and the the rate of producing magnesium was set up with neural network. When the model was satisfied, it could be used for predicting the rate of producing magnesium. Through doing a great number of productive tests in the winca(hebi) magnesium company with limited liability according to the satisfied model, the rate of the producing magnesium is increasing obviously. So it is a kind of effective means for increasing producing magnesium by silicon-thermo-reduction.

Info:

Periodical:

Advanced Materials Research (Volumes 146-147)

Edited by:

Sihai Jiao, Zhengyi Jiang and Jinglong Bu

Pages:

571-574

DOI:

10.4028/www.scientific.net/AMR.146-147.571

Citation:

L. B. Ji and Y. Z. Li, "Predicting Model in the Smelting Magnesium by Silicon-Thermo-Reduction Based on Artificial Neural Network", Advanced Materials Research, Vols. 146-147, pp. 571-574, 2011

Online since:

October 2010

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Price:

$35.00

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