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LS-SVR and AGO Based Time Series Prediction Method

ZHANG Shou-peng LIU Shan CHAI Wang-xu ZHANG Jia-qi GUO Yang-ming

国际设备工程与管理（英文版）2016，Vol.21Issue(1)：1-13,13.

国际设备工程与管理（英文版）2016，Vol.21Issue(1)：1-13,13.DOI:10.13434/j.cnki.1007-4546.2016.0101

LS-SVR and AGO Based Time Series Prediction Method

ZHANG Shou-peng ¹LIU Shan ²CHAI Wang-xu ²ZHANG Jia-qi ²GUO Yang-ming²

作者信息

1. Aeronautical Computing Technique Research Institute, Aviation Industry Corporation of China, Xi′an 710068, P.R.China
2. School of Computer Science and Technology, Northwestern Polytechnical University, Xi′an 710072, P.R.China
折叠

摘要

关键词

time series prediction/least squares support vector regression ( LS-SVR )/Gaussian radial basis function ( RBF)/accumulated generating operation ( AGO)

Key words

time series prediction/least squares support vector regression ( LS-SVR )/Gaussian radial basis function ( RBF)/accumulated generating operation ( AGO)

引用本文复制引用

ZHANG Shou-peng,LIU Shan,CHAI Wang-xu,ZHANG Jia-qi,GUO Yang-ming..LS-SVR and AGO Based Time Series Prediction Method[J].国际设备工程与管理（英文版）,2016,21(1):1-13,13.

基金项目

This work is supported by National Natural Science Foundation （ NNSF ） of China under Grant No ．61371024， Aviation Science Fund of China under Grant No ．2013ZD53051， Aerospace Technology Support Fund of China ， the Industry-Academy-Research Project of AVIC （cxy2013XGD14）．（）

国际设备工程与管理（英文版）

ISSN：1007-4546

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