Shi-Hua Luo

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Forecasting of silicon content in blast furnace (BF) hot metal has always been an important tool in the control of iron-making process. To get an accurate prediction of silicon content is an urgent task for BF operators. The approach based on generalized autoregressive conditional heteroskedastic (GARCH) has been introduced to predict step-ahead silicon(More)
This study plans to collect 17 open-end balanced stock funds data from websites of domestic securities companies, selects the funds with the technical efficiency value of 1 as investment targets by using data envelopment analysis to analyze fund performance. Then, the mutual fund net worth prediction model is built by various new data mining methods(More)
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