Hybrid Prediction Based on BP Neural Network and Markov Chain

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the Third International Conference on Control, Automation and Systems Engineering (CASE-13)
PB  - Atlantis Press
SP  - 92
EP  - 96
SN  - 1951-6851
UR  - https://doi.org/10.2991/case-13.2013.23
DO  - 10.2991/case-13.2013.23
ID  - Liu2013/08
ER  -