Regional economy prediction method, system and device based on crowd migration
A prediction method and crowd technology, applied in neural learning methods, predictions, neural architectures, etc., can solve problems such as inaccurate regional economic indicators, and achieve the effect of solving inaccurate regional economic indicators and improving accuracy
Pending Publication Date: 2020-09-01
TSINGHUA UNIV
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Problems solved by technology
[0005] In order to solve the technical problem that the regional economic indicators predicted by the regional economic forecasting model are not accurate enough, the embodiment of the present invention provides a regional economic forecasting method, system and equipment based on crowd migration
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[0051] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0052] figure 1 A flow chart of a regional economic prediction method based on population migration provided by an embodiment of the present invention, such as figure 1 As shown, the method includes:
[0053] S1. Obtain a current crowd migration network, where the current crowd migration network includes nodes corresponding to regions.
[0054]...
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The embodiment of the invention relates to the technical field of data index prediction, and discloses a regional economy prediction method, system and device based on crowd migration. According to the embodiment of the invention, the method comprises the steps: firstly obtaining a current crowd migration network, wherein the current crowd migration network comprises a node corresponding to a region; obtaining a node representation vector corresponding to the node from the current crowd migration network; and processing the node representation vector based on a multi-layer perceptron so as tocarry out prediction behaviors of regional economy. Obviously, according to the embodiment of the invention, the current crowd migration network is introduced, the representation vector of the node corresponding to the region is used for carrying out the prediction behavior of the regional economy, so that the spatial data correlation is additionally introduced into the prediction operation, the accuracy of the prediction result is improved, and the technical problem that the regional economy index predicted by the regional economy prediction model is not accurate enough is solved.
Description
technical field [0001] The invention relates to the technical field of data index forecasting, in particular to a regional economic forecasting method, system and equipment based on crowd migration. Background technique [0002] The regional economic forecasting model is suitable for regional economic forecasting (Regional Economy Prediction) behavior. Among them, the regional economic forecasting behavior is a forecasting behavior of estimating the economic indicators of the target region in a certain period of time in the future. [0003] Typical application scenarios are public policy formulation, store location selection, and resource scheduling. Moreover, government agencies and business departments can plan reasonable development plans and optimal resource scheduling based on the forecast of the future economic situation in each region. [0004] However, most of the current regional economic forecasting models only predict the regional economy based on temporal data, ...
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Login to View More IPC IPC(8): G06Q10/04G06Q50/26G06N3/04G06N3/08G06K9/62
CPCG06Q10/04G06Q50/26G06N3/08G06N3/045G06F18/253
Inventor 徐丰力李勇金德鹏
Owner TSINGHUA UNIV