STUDY ON GREY FORECASTING MODEL OF COPPER EXTRACTION RATE WITH BIOLEACHING OF PRIMARY SULFIDE ORE
来源期刊：Acta Metallurgica Sinica2007年第2期
论文作者：H.C. Jiang B.H. Yang A.X. Wu Y. Xi X.S. Chen
Key words：primary copper sulfide ore; bioleaching; extraction rate; grey theory; forecasting model;
Abstract: A model GM (grey model) (1,1) for forecasting the rate of copper extraction during the bioleaching of primary sulphide ore was established on the basis of the mathematical theory and the modeling process of grey system theory. It was used for forecasting the rate of copper extraction from the primary sulfide ore during a laboratory microbial column leaching experiment. The precision of the forecasted results were examined and modified via "posterior variance examination". The results show that the forecasted values coincide with the experimental values. GM (1,1) model has high forecast accuracy; and it is suitable for simulation control and prediction analysis of the original data series of the processes that have grey characteristics, such as mining, metallurgical and mineral processing, etc. The leaching rate of such copper sulphide ore is low. The grey forecasting result indicates that the rate of copper extraction is approximately 20% even after leaching for six months.
H.C. Jiang1，B.H. Yang1，A.X. Wu2，Y. Xi3，X.S. Chen1
(1.School of Resources & Safety, Central South University, Changsha 410083, China;
2.Givil & Engineering School, University of Science and Technology Beijing, Beijing 100083, Ghina;
3.China Nonferrous Engineering and Research Institute, Beijing 100038, China)
Abstract:A model GM (grey model) (1,1) for forecasting the rate of copper extraction during the bioleaching of primary sulphide ore was established on the basis of the mathematical theory and the modeling process of grey system theory. It was used for forecasting the rate of copper extraction from the primary sulfide ore during a laboratory microbial column leaching experiment. The precision of the forecasted results were examined and modified via "posterior variance examination". The results show that the forecasted values coincide with the experimental values. GM (1,1) model has high forecast accuracy; and it is suitable for simulation control and prediction analysis of the original data series of the processes that have grey characteristics, such as mining, metallurgical and mineral processing, etc. The leaching rate of such copper sulphide ore is low. The grey forecasting result indicates that the rate of copper extraction is approximately 20% even after leaching for six months.
Key words:primary copper sulfide ore; bioleaching; extraction rate; grey theory; forecasting model;
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