基于灰色支持向量机组合模型的农产品产量预测

Farm Produce Output Forecasting Using Grey Support Vector Machine Combined Model

鉴于灰色预测模型和支持向量机各自的优点,将灰色预测模型与支持向量机相结合,提出灰色支持向量机组合模型,并将该模型应用于花生产量预测中。结果表明,与单一支持向量机和灰色预测模型相比,灰色支持向量机组合模型的预测精度明显提高。

As for the advantages of grey forecasting model and support vector machine, a grey support vector machine combined model which combines grey forecasting model with support vector machine was proposed and was applied to peanut output forecast. The results show that compared with the single support vector machine and grey forecasting model, the new model has obviously superior forecasting accuracy.