Hybrid Modeling Method of Forecasting Gold Production in the Hydrometallurgy Process

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Journal of Northeastern University ›› 2013, Vol. 34 ›› Issue (3): 308-311.DOI: -

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Hybrid Modeling Method of Forecasting Gold Production in the Hydrometallurgy Process

YUAN Qingyun¹， WANG Fuli^1,2， HE Dakuo^1,2

1. School of Information Science ＆ Engineering， Northeastern University， Shenyang 110819， China; 2. National Key Laboratory of Integrated Automation for Process Industries， Northeastern University， Shenyang 110819， China.

Received:2012-09-04 Revised:2012-09-04 Online:2013-03-15 Published:2013-01-26
Contact: YUAN Qingyun
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Abstract

Abstract: Due to lack of efficient measuring means， it is unable to realize the accurate online measurement of gold production in the whole hydrometallurgy process. Therefore a hybrid modeling method was proposed， which combined LSSVM with the static mechanism model of the whole hydrometallurgy process to predict the gold production. By analyzing the mechanism of the whole hydrometallurgy process， the material balance was used to establish the static mechanism model of the gold production， and LSSVM was applied to compensate for the error resulting from the process characteristic， which could not be described by the mechanism model. Simulation results showed that the forecasting performance of the proposed method is better than the mechanism model and the model established only by LSSVM， and verified that the proposed method is effective.

Key words: hydrometallurgy, gold production, mechanism model, LSSVM, hybrid model

CLC Number:

TP273

YUAN Qingyun， WANG Fuli， HE Dakuo. Hybrid Modeling Method of Forecasting Gold Production in the Hydrometallurgy Process[J]. Journal of Northeastern University, 2013, 34(3): 308-311.

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Hybrid Modeling Method of Forecasting Gold Production in the Hydrometallurgy Process

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