Proceedings of the Third International Conference on Control, Automation and Systems Engineering (CASE-13)

Hybrid Prediction Based on BP Neural Network and Markov Chain

Authors
Guofeng Liu, Shaobin Huang, Xiufeng Piao, Yuan Cheng
Corresponding Author
Guofeng Liu
Available Online August 2013.
DOI
https://doi.org/10.2991/case-13.2013.23How to use a DOI?
Keywords
hybrid prediction; BP neural network; markov chain; endowment insurance
Abstract
At present, there are many kinds of prediction methods, how to play the advantages of different prediction methods and take advantage of useful information contained in the data have become the focus of research. This paper starts from the studies of combination prediction method. First, it described the current research status of combination prediction methods. Second, it analyzed the characteristics and applicability of different prediction methods. Finally, it proposed a hybrid prediction method based on BP neural network and Markov chain, and applied it to the prediction of personal payment in endowment insurance fund. The experimental results show that the proposed method is effective and feasible.
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Proceedings
Third International Conference on Control, Automation and Systems Engineering (CASE-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-81-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/case-13.2013.23How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Guofeng Liu
AU  - Shaobin Huang
AU  - Xiufeng Piao
AU  - Yuan Cheng
PY  - 2013/08
DA  - 2013/08
TI  - Hybrid Prediction Based on BP Neural Network and Markov Chain
BT  - Third International Conference on Control, Automation and Systems Engineering (CASE-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/case-13.2013.23
DO  - https://doi.org/10.2991/case-13.2013.23
ID  - Liu2013/08
ER  -