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A Precipitation Prediction Method Based on Clustering and Linear Regression

A technology of linear regression and forecasting method, applied in forecasting, data processing applications, instruments, etc., can solve the problem of low accuracy and achieve the effect of improving accuracy

Active Publication Date: 2022-07-19
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, some existing rainfall data analysis and prediction methods have the disadvantage of low accuracy.

Method used

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  • A Precipitation Prediction Method Based on Clustering and Linear Regression
  • A Precipitation Prediction Method Based on Clustering and Linear Regression
  • A Precipitation Prediction Method Based on Clustering and Linear Regression

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Experimental program
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Embodiment 1

[0027] Example 1: as figure 1 As shown, a rainfall prediction method based on clustering and linear regression, the specific steps are:

[0028] Step1: Collect regional rainfall observation data and generate rainfall database;

[0029] Step2: Obtain the data in the rainfall database and generate a data set;

[0030] Step3: Generate clusters according to the data set generated in Step3;

[0031] Step4: Calculate the linear regression coefficient according to the clusters generated in Step4;

[0032] Step5: Obtain the linear regression function of the clustering according to the clustering and linear regression coefficients generated in Step3 and Step4;

[0033] Step6: Calculate the linear regression of K-th clustering according to the linear regression function of the clustering obtained in Step5;

[0034] Step7: Obtain the rainfall forecast data according to the linear regression result of the K-fold clustering obtained in Step6.

[0035] In the step Step2, the generated ...

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Abstract

The invention relates to a rainfall prediction method based on clustering and linear regression, and belongs to the technical field of meteorological data analysis methods. The invention first collects regional rainfall observation data and generates a rainfall database; then acquires the data in the rainfall database and generates a data set; then generates clusters according to the generated data set; Clustering and linear regression coefficients are used to obtain the linear regression function of the clustering; then according to the linear regression function of the obtained clustering, the linear regression of the K-fold clustering is calculated; finally, the rainfall prediction data is obtained according to the linear regression result of the obtained K-folding clustering. The present invention uses the clustering algorithm and the linear regression algorithm to process the rainfall data, so as to obtain the rainfall prediction.

Description

technical field [0001] The invention relates to a rainfall prediction method based on clustering and linear regression, and belongs to the technical field of meteorological data analysis methods. Background technique [0002] Accurately forecasting precipitation can be used in various related industries to make policy, planning and management decisions, and contribute to the sustainable operation of water resources systems. Using historical data and methods based on statistics and intelligent computing to predict future rainfall is a more common rainfall forecasting method today. However, some existing rainfall data analysis and prediction methods have the shortcomings of low accuracy. SUMMARY OF THE INVENTION [0003] The technical problem to be solved by the present invention is to provide a rainfall prediction method based on clustering and linear regression to solve the above problems. [0004] The technical scheme of the present invention is: a rainfall prediction m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/26G06K9/62
CPCG06Q10/04G06Q50/26G06F18/23213
Inventor 宋耀莲马丽华
Owner KUNMING UNIV OF SCI & TECH