Based on the data sequence of oil unit operation cost from 1999 to 2005 in Talimu oilfield, yearly operation cost prediction is conducted successfully by using GM (1, 1) grey model.
该文以塔里木油田1999年到2005年的原油单位操作成本数据序列为依据，利用GM(1,1)灰色模型，进行了年度操作成本预测，并得到了较好的结果。
Based on analysis of the characteristics of equipment operation, and according to the vibration intensity, a grey prediction model is established by use of grey system theory.
分析了设备运行状态的特征，运用灰色系统理论对设备状态特征量——振动烈度，建立了灰色预测模型。
Based on grey prediction GM (1, 1) model, an integrated grey Support Vector Machine (SVM) model was presented.
对灰色预测GM(1,1)模型进行了分析，提出了集成灰色支持向量机的预测模型。
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