不等时距灰色组合预测模型的研究

在不等时距序列灰色预测的基础上,建立了最优组合预测模型和BP神经网络组合预测模型.通过实例对比分析,表明这两种灰色组合预测模型都较各单项模型具有更高的预测精度和较高的理论实践价值.

Study of Unequal Interval Grey Combinatorial Forecasting Model

Based on the study of unequal interval grey sequence forecasting,both of the optimal and the BP neural networks combinatorial forecasting were established.By comparison and analysis of some examples the conclusion was obtained that both of the two grey combinatorial forecasting models have higher precision practicability and reliability than the combined models.