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
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;
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
DOI :
10.1109/MSN.2013.57
