基于相对误差极小化的灰色组合预测模型(英文)

Grey Combination Forecast Models Based on Relative Error Minimize

分别利用累加生成数据作为初始条件,建立了不同的灰色预测模型.以这些模型为基础,按照相对误差极小化的原则,建立了灰色组合预测模型.通过实例对比分析,表明灰色组合预测模型具有更高的预测精度和较高的理论实践价值.

Make use of the i-th component of 1-AGO sequence as the starting conditions of the grey differential equation, the grey forecast models were established. Based on the relative error minimizes principle, the grey combination prediction model was discussed. The conclusion was obtained that the improvement GM （1, 1） model has higher precision than the original one. By comparing the practicability with reliability of this model, some example was validated.