DocumentCode
3118814
Title
Research on Forecasting and Early-Warning Methods
Author
Liu Yi ; Xu Ke ; Song Junde
Author_Institution
PCN&CAD Center, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2013
fDate
11-13 Dec. 2013
Firstpage
570
Lastpage
576
Abstract
This paper introduces the definition of forecasting and early warning, and the research status of forecasting and early warning at home and abroad. And we analyze and compare the currently main forecasting and early warning methods and models: neural network, gray theory, Bayesian theory. Finally we look into the future direction of forecasting and early warning.
Keywords
Bayes methods; forecasting theory; grey systems; neural nets; Bayesian theory; early-warning methods; forecasting methods; gray theory; neural network; Artificial neural networks; Bayes methods; Biological neural networks; Biological system modeling; Forecasting; Mathematical model; Predictive models; Bayesian theory; Forecasting; early warning; gray theory; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Ad-hoc and Sensor Networks (MSN), 2013 IEEE Ninth International Conference on
Conference_Location
Dalian
Print_ISBN
978-0-7695-5159-3
Type
conf
DOI
10.1109/MSN.2013.57
Filename
6726399
Link To Document