Hybrid modeling method of forecasting gold production in the hydrometallurgy process

作者：Yuan Qing Yun^*; Wang Fu Li; He Da Kuo

来源：Journal of Northeastern University, 2013, 34(3): 308-311.

• Forecasting performance
• Gold production
• Hybrid model
• Hybrid modeling methods
• LS-SVM
• Mechanism model
• On-line measurement
• Process characteristics

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.

• 出版日期2013
• 单位东北大学