我们采用灰色预测方法与平均增长量外推法相结合，建立了一种新型的预测模型——灰色组合预测模型。
We use gray dopesting method and averagely ascending quantity outside pushing method, set up a new dopesting model-gray prefab dopesting model.
提出了设备运行状态综合预测模型，神经网络和灰色理论的组合应用，提高了状态预测的准确性。
A synthetic condition prediction model is presented, using neural network and grey theory together make it possible to predict accurately.
通过对昆明市2003-2010年生活垃圾产生量进行了灰色组合模型预测，结果表明该模型的预测精度达到一级。
The result showed that the Gray Combining Predication Model's accuracy can reach first class in forecasting of Kunming urban waste output in 2003-2010.
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