综合预测知识模型 Integrated Prediction Knowledge Model
综合信息成矿预测模型 the metallogenic prognosis model of synthetic information
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将投影寻踪（PP）与高维时间序列分析结合起来，建立了地震PP综合预测模型。
Combining Projection Pursuit(PP) and highdimensional time series analysis, the synthetic earthquake prediction model of highdimensional PP time series is built.
现有的综合预测模型，大多未考虑系统的时变性和各种异常在震前所显示的不同持续时间。
For present synthetic models, time dependent characteristics of the system and different anomalous periods of various precursors shown before strong earthquakes have been not considered.
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.
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