Shuang Liu
College of Economics and Management, Huazhong Agricultural University, Wuhan,Hubei, 430070, China
Xunguang Xu
College of Public Administration, Huazhong Agricultural University, Wuhan, Hubei, China, 430070, China
ABSTRACT
Risk evaluation of basic pension insurance payment can ensure stable and healthy development of national economy and has important practical significance in building harmonious society. This study puts forward a new BP neural network algorithm for evaluating risk of basic pension insurance payment. First, a new indicator system for evaluating risk of basic pension insurance payment is established from the perspectives of system operation, system design and environment; Then the study improves BP neural network algorithm through optimizing its learning rate, adopting orthogonalizable design and optimizing the form of training sample to simplify the algorithm structure and improve efficiency; Finally, the established evaluation indicator system and presented BP algorithm are realized by the data from some city to carry out comprehensive risk evaluation of basic pension insurance payment and the experimental results indicate that the model has favorable evaluation results.
PDF References Citation
How to cite this article
Shuang Liu and Xunguang Xu, 2013. Algorithm Research on Risk Evaluation of Pension Insurance Payment Based on Bp Algorithm. Information Technology Journal, 12: 4229-4232.
DOI: 10.3923/itj.2013.4229.4232
URL: https://scialert.net/abstract/?doi=itj.2013.4229.4232
DOI: 10.3923/itj.2013.4229.4232
URL: https://scialert.net/abstract/?doi=itj.2013.4229.4232
REFERENCES
- Zhang, J.H., L.J. Qi, R.H. Ji, H. Nang and S. Huang, 2012. Cotton diseases identification based on rough sets and BP neural network. Trans. Chin. Soc. Agric. Eng., 7: 161-167.
CrossRef