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Time sequence-based position prediction method and device, equipment and medium

A technology of time series and prediction method, applied in the field of machine learning of financial technology, can solve the problem of low accuracy of position prediction, and achieve the effect of improving generalization ability and accuracy

Pending Publication Date: 2021-04-30
WEBANK (CHINA)
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of this application is to provide a position forecasting method, device, equipment and medium based on time series, aiming to solve the technical problem of low position forecast accuracy in the prior art

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  • Time sequence-based position prediction method and device, equipment and medium
  • Time sequence-based position prediction method and device, equipment and medium
  • Time sequence-based position prediction method and device, equipment and medium

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Embodiment Construction

[0024] It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0025] The embodiment of the present application provides a position forecasting method based on time series. In the first embodiment of the position forecasting method based on time series in this application, refer to figure 1 , the position forecasting method based on time series includes:

[0026] Step S10, acquiring time-series data, and performing data enhancement on the time-series data to expand the number of samples of the time-series data and obtain enhanced data;

[0027] In this embodiment, it should be noted that the time series data is data with time series information, such as time series position data and regional population growth data over time, etc., and the function of the data enhancement is to carry out data processing Expansion of the number of samples, the position forecasting method based...

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Abstract

The invention discloses a time sequence-based position prediction method and device, equipment and a medium, and the method comprises the steps of obtaining time sequence data, and carrying out the data enhancement of the time sequence data, so as to increase the number of samples of the time sequence data, and obtaining enhanced data; performing time feature decomposition on the enhanced data to expand the feature dimension of the enhanced data to obtain optimized time sequence data; constructing a target time sequence model based on the optimized time sequence data; and obtaining to-be-predicted position data, inputting the to-be-predicted position data into the target time sequence model, and carrying out time sequence-based position prediction on the to-be-predicted position data to obtain a position prediction result. According to the invention, the technical problem of inaccurate position prediction is solved.

Description

technical field [0001] The present application relates to the technical field of machine learning in financial technology (Fintech), and in particular to a position prediction method, device, equipment and medium based on time series. Background technique [0002] With the continuous development of financial technology, especially Internet technology finance, more and more technologies (such as distributed, artificial intelligence, etc.) The industry also has higher requirements for the distribution of to-do items. [0003] With the continuous development of computer technology, the application fields of machine learning are becoming more and more extensive. Time series are data sequences that are arranged in chronological order, change with time and are interrelated. At present, it is usually directly based on data with stationary properties. To build a time series model, however, in some modeling scenarios, the modeling data is usually small sample data, such as position ...

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06K9/62G06N3/04G06N3/08G06Q40/00
CPCG06F16/2474G06N3/084G06Q40/00G06N3/044G06F18/24G06F18/214
Inventor 高攀曾岩李晶
Owner WEBANK (CHINA)