计算机与数字工程2023，Vol.51Issue(12)：2807-2813,7.DOI:10.3969/j.issn.1672-9722.2023.12.008
基于小波函数与改进时间序列的数字经济成熟度研究
Research on Maturity of Digital Economy Based on Wavelet Function and Improved Time Series
陈彬 1徐欢 1周珑2
作者信息
- 1. 中国南方电网责任有限公司 广州 510000
- 2. 南方电网数字电网研究院有限公司 广州 510000
- 折叠
摘要
Abstract
Aiming at the serious data distortion and weak global search ability of time series algorithm,an improved time se-ries algorithm based on wavelet function(ITSWF)is proposed.Firstly,the wavelet function is used to subcontract the right distorted data,so that the data is in fragment order,reduce the data distortion at different times,and weaken the influence of time and dimen-sion on the calculation results.Then,the wavelet function subcontracts the data to form sub time series with different dimensions,and co evolution and optimal location sharing are carried out for sub time series with different dimensions.The simulation results show that the calculation accuracy and convergence speed of ITSWF algorithm are better than CTS and ITS algorithms.Finally,the ITSWF model is constructed by setting the initial value and threshold to predict the economic maturity of digital economy,and the results show that the accuracy of ITSWF model is improved in the analysis of digital economic maturity.关键词
小波函数/时间序列/数字经济/成熟度预测Key words
wavelet function/time series/digital economy/maturity prediction分类
数理科学引用本文复制引用
陈彬,徐欢,周珑..基于小波函数与改进时间序列的数字经济成熟度研究[J].计算机与数字工程,2023,51(12):2807-2813,7.
