支持向量机修正灰色模型在工程价格预测中的应用

Support Vector Machine Grey Model in the Application of Engineering Price Forecast

为了有效地提高工程价格预测精度,建立一种灰色模型与支持向量机模型相结合的工程价格预测模型。首先建立工程价格的GM(1,1)模型,并得到了工程价格预测结果,然后利用支持向量机模型对GM(1,1)预测结果残差进行预测,最后两者的预测结果进行相加,得到工程价格的最终预测结果。仿真结果表明,与单一灰色模型与支持向量机模型相比,灰色支持向量机地提高了工程价格的预测精度。

In order to effectively improve the engineering price prediction accuracy,the establishment of a grey model and support vector machine（SVM） model combining the engineering price prediction model.The first to establish the engineering price GM（1,1） model,and obtain the engineering price prediction results,then use support vector machine（SVM） model of GM（1,1） prediction results residual forecast,and finally the forecast results are added together,and get the final project price forecast results.The simulation results show that,with a single grey model and support vector machine（SVM） model,compared with grey support vector machine to improve the engineering price forecasting precision.