Study on Parameter Optimization of Copper Smelting in Civil Engineering

Abstract

The process of copper converter smelting has very complex nonlinear relations, so that its mathematical model can not be created accurately. In this paper, considering that the LS-SVM has strong nonlinear approximation ability, the organization and optimization model based on LS-SVM to assist copper smelting production is proposed, namely compensating the original model and improving the precision of the model using LS-SVM. To simulate using real production data of a copper smelting company, the result shows that this model’s precision is high, this can be used to guide the practice production and it is very effective in civil engineering