Quadratic parameter spline curve prediction method and system based on accumulative chord length

Abstract

The embodiments of the invention disclose a quadratic parameter spline curve prediction method and a system based on accumulative chord length, wherein the method comprises: performing sample point acquisition and pretreatment to the discrete data; determining the characteristic peaks of a prediction curve model; establishing parameter segmentation to the obtained n characteristic peaks; obtaining the intermediate parameters of the half-nodes and prediction curve model; through the characteristic peaks and the half-nodes, establishing m continuous function groups for the predication curve model; structuring and calculating the boundary conditions of the prediction curve model as the parameters of solving the m continuous function groups; solving the m continuous function groups to obtain the prediction curve model and obtaining the curve image; and predicting the prediction curve according to the prediction curve model to obtain a prediction result. According to the embodiments of the invention, the method and the system overcome the defects that the traditional prediction curve only roughly expresses the validity and accurate measurement is impossible and that the validity difference between the progressive changing process and the same-level discrete value cannot be clearly reflected.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a prediction method and system based on a quadratic parametric spline curve of cumulative chord length. Background technique [0002] Curve trend forecasting method is also called non-linear trend forecasting method. It is a method of forecasting using the curve trend model. The commonly used curve trend models are parabolic and simple exponential. When the time series shows a continuous increasing or decreasing trend in a long period of time. When the period-by-period growth is roughly the same, it is advisable to use the linear trend model for forecasting; if the secondary growth of the time series is roughly the same, it is appropriate to use the parabolic trend model for forecasting; When they are roughly the same, it is advisable to use the exponential trend model for forecasting. The seasonal ratio prediction method is a method of forecasting by establishing a time seri...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a prediction method and system based on the cumulative chord quadratic parameter spline curve, which overcomes the fact that the tradit

Images