A thickener underflow concentration prediction method based on a mixing model

The invention provides a thickener underflow concentration prediction method based on a mixing model, Aiming at the problem that it is difficult to measure the underflow concentration on-line in hydrometallurgy dense washing process, On the basis of in-depth analysis of the characteristics of dense scrubbing process, a hybrid modeling method combining mechanism modeling and three-layer ELM error compensation model based on global distribution optimization algorithm is used to realize the accurate measurement of underflow concentration in dense scrubbing process. 本发明提供了种基于混合模型的浓密机底流浓度预测方法,针对湿法冶金浓密洗涤过程底流浓度难以在线测量的问题，在深入分析浓密洗涤过程特点的基础上，利用机理建模与基于整体分布优化算法改进的三层ELM误差补偿模型相结合的混合建模方法实现浓密洗涤过程底流浓度的精准测量。