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

Liang Bo Ji; Yong Zhi Li

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 146-147Predicting Model in the Smelting Magnesium by...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 146-147)

Pages:

571-574

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.146-147.571

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Online since:

October 2010

Authors:

Liang Bo Ji, Yong Zhi Li

Keywords:

Artificial Neural Network (ANN), Orthogonal Plan Method, Predict, Rate of Producing Magnesium, Smelting Magnesium by Silicon-Thermo-Reduction

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