Time Series Prediction Based on Machine Learning

被引：0
|
作者：
Jiang, Q. Y. [1 ]
机构：
[1] Cent South Univ Forestry & Technol, Coll Comp Sci & Informat Technol, Changsha, Hunan, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING (EAME 2015) | 2015年 / 13卷
关键词：
time series forecasting; machine learning; feature extraction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Time series is an important temporal data object types, for time series prediction has great significance and wide application. This paper studies the key technologies for predicting the time series of machine learning, mainly in the following three points: (1) proposed a two-class nuclear space feature selection frame (2), a fast multi-core-based distance learning method (3) the prediction of time series based on key technologies applied to machine learning model among business intelligence.
引用
收藏
页码：128 / 129
页数：2
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