| Prediction of leaching rate in heap leaching process by grey dynamic model GDM（1,1） |
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| 引用本文： | 刘金枝,吴爱祥.Prediction of leaching rate in heap leaching process by grey dynamic model GDM（1,1）[J].应用数学和力学(英文版),2008,29(4):541-548. |
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| 作者姓名： | 刘金枝 吴爱祥 |
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| 作者单位： | LIU Jin-zhi（College of Information Technology,Shanghai Fisheries University,Shanghai 200090,P.R.China） ;
wu Ai-xiang（School of Civil and Environment Engineering,University of Science and Technology Beijing,Beijing 100083,P.R.China） ; |
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| 基金项目： | 国家自然科学基金，the National Science Foundation for Innovative Research Group，湖南省自然科学基金 |
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| 摘 要： | The method of developing GM（1,1） model is extended on the basis of grey system theory. Conditions for the transfer function that improve smoothness of original data sequence and decrease the revert error are given. The grey dynamic model is first combined with the transfer function to predict the leaching rate in heap leaching process. The results show that high prediction accuracy can be expected by using the proposed method. This provides a new approach to realize prediction and control of the future behavior of leaching kinetics.
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| 关 键 词： | 浸出比率 灰色理论 动力模型 预测 |
| 收稿时间： | 17 September 2007 |
Prediction of leaching rate in heap leaching process by grey dynamic model GDM(1,1) |
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| Jin-zhi Liu,Ai-xiang Wu.Prediction of leaching rate in heap leaching process by grey dynamic model GDM(1,1)[J].Applied Mathematics and Mechanics(English Edition),2008,29(4):541-548. |
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| Authors: | Jin-zhi Liu Ai-xiang Wu |
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| Institution: | 1. College of Information Technology,Shanghai Fisheries University,Shanghai 200090,P.R.China
2. School of Civil and Environment Engineering,University of Science and Technology Beijing,Beijing 100083,P.R.China |
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| Abstract: | The method of developing GM(1,1)model is extended on the basis of grey system theory.Conditions for the transfer function that improve smoothness of original data sequence and decrease the revert error are given.The grey dynamic model is first combined with the transfer function to predict the leaching rate in heap leaching process.The resuhs show that high prediction accuracy call be expected by using the proposed method.This provides a new approach to realize prediction and control of the future behavior of leaching kinetics. |
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| Keywords: | leaching rate prediction grey theory dynamic model |
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