基于IGS和SVM的烧结返矿量智能集成预测模型

针对烧结返矿量难以进行有效预测的问题,提出一种智能集成预测模型.首先利用改进灰色系统和支持向量机两个单一模型分别对返矿量进行预测;然后基于预测精度的数学期望和标准差,通过求取最优加权系数,建立烧结返矿量智能集成预测模型进行返矿量集成预测.运行结果表明,该集成模型的预测精度高于单一模型,能有效地对返矿量进行预测.

Intelligent integrated prediction model for quantity of sintering return mines based on IGS and SVM

Based on the fact that the quantity of return mines is hard to predict effectively,an intelligent integrated prediction model is proposed.The quantity of sintering return mines is respectively predicted by using two single models,improved gray system(IGS) and support vector machine(SVM).Then,based on two precision indicators of mean and deviate,an intelligent integrated prediction model is introduced to predict the quantity of sintering return mines by calculating optimal weight coefficient.The prediction r...