@inproceedings{360b7f860208420a9d235454a7b323c1,
title = "Time series regression and prediction based on boosting regression",
abstract = "In this paper we propose a boosting regression model for time series using BP network and SVR as basic learning methods. We first make brief introduction on BP network and SVR, then give the specific boosting regression algorithm with theoretical analysis. In the experiment, we use a time series data of wind-speed from a coal mine as a training set to verify the efficiency of our proposed method. The experiment results show that boosting regression gain better performance on test training and generaliz ation.",
keywords = "BP neural network, Boosting regression, Support vector machines, Time series",
author = "Wen Gu and Baifeng Li and Baolong Niu and Wei Wei and Zhiming Zheng",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Workshop on Advanced Research and Technology in Industry Applications, WARTIA 2014 ; Conference date: 29-09-2014 Through 30-09-2014",
year = "2014",
month = dec,
day = "4",
doi = "10.1109/WARTIA.2014.6976244",
language = "英语",
series = "Proceedings - 2014 IEEE Workshop on Advanced Research and Technology in Industry Applications, WARTIA 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "251--254",
booktitle = "Proceedings - 2014 IEEE Workshop on Advanced Research and Technology in Industry Applications, WARTIA 2014",
address = "美国",
}