基于SVM的粉煤灰最大干密度和比重预测

Prediction of Fly Ash Maximum Dry Density and Specific Gravity Based on SVM

粉煤灰既是-种固体废弃物,也是一种优良的岩土材料。作为岩土材料,最大干密度和比重是其最重要的两个工程特性指标。本文利用支持向量机这一软计算技术,建立了粉煤灰最大干密度和比重的预测模型。以相关系数R和效率系数E作为评判模型预测精度的指标,研究结果表明,本文提出的支持向量机模型比现有的人工神经网络模型更为有效。

The fly ash is not only a kind of solid waste,hut also an excellent material in geotechnical engineering.The maximum dry density and specific gravity are two most important engineering characteristic indices.The paper has established a fly ash maximum dry density and specific gravity prediction model through support vector machine(SVM)soft computing technology.Taking the correlation coefficient R and efficiency coefficient E as model prediction accuracy assessment indices has assessed the paper suggested SVM model is more effective than now available artificial neural network model.