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Meeting 2018 TMS Annual Meeting & Exhibition
Symposium Environmental Challenges and Opportunities for the Magnesium Industry: Recycling and Sustainability Joint Session
Presentation Title C-48: Repaired Algorithm for Nonlinear to Predict the Displacement of Copper Ion in the Absorbtion Systerm of Treated Steel Slag
Author(s) Zhu Shu Jing
On-Site Speaker (Planned) Zhu Shu Jing
Abstract Scope According to the nonlinear characteristics of displacement PH value series of copper ion in the absorbtion systerm, and based on phase space reconstruction theory and the powerful nonlinear mapping ability of support vector machines, the information offered by the time series datum sets can be fully exploited and the trend of displacement evolution of absorbtion systerm can be precisely predicted by making real-time predicting.
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C-48: Repaired Algorithm for Nonlinear to Predict the Displacement of Copper Ion in the Absorbtion Systerm of Treated Steel Slag

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