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METHODS FOR PREDICTING ECONOMIC STATE AND ESTABLISHING ECONOMIC STATE PREDICTION MODEL AND CORRESPONDING APPARATUSES

机译:预测经济状态和建立经济状态预测模型和相应设备的方法

摘要

The present disclosure discloses methods for predicting an economic state and establishing an economic state prediction model and corresponding apparatuses, and relates to the technical field of big data. A specific implementation solution is: acquiring, from map application data, geographic location point active data in N historical time frames before a to-be-predicted future time frame respectively for a to-be-predicted region, the N being a positive integer; and inputting feature vectors of the geographic location point active data in the N historical time frames before the to-be-predicted time frame into a pre-trained economic state prediction model, to obtain economic indicator data of the to-be-predicted region in the to-be-predicted time frame. The present disclosure can predict an economic state of the to-be-predicted region in the to-be-predicted time frame, thus providing a reference for policy making in advance.
机译:本公开公开了用于预测经济状态并建立经济状态预测模型和相应装置的方法,并涉及大数据的技术领域。 特定实现解决方案是:从地图应用程序数据获取,在要预测的未来时间帧之前,从地图应用程序数据,在n历史时帧中分别用于待预测区域,n是正整数; 并在要预测的时间帧之前将N历史时帧中的地理位置点活动数据的特征向量输入到预先培训的经济状态预测模型中,以获得待预测区域的经济指标数据 待预测的时间框架。 本公开可以预测待预测的时间帧中的待预测区域的经济状态,从而为提前提供策略制作的参考。

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