The Evaluation of City Emergency Management System Results Based on BP Neural Network

Abstract:

City Emergency Management System Results (CEMSR) is very important to city disaster to reduce casualties and property loss. BP neural network evaluates CEMSR. And CEMSR practical evaluation procedures are obtained. In this paper SPSS neural network toolbox was used to design and calculation the network. The model error achieve a acceptable range, through training and texting a lot of study samples. Instance verified this method accuracy and operability. Further, a new method can be provided for the relevant government’s authorities which evaluate the city emergency management system results.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 3288-3291
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.3288
• Online since: December 2012
• Authors: Dong Min Jiang, Zeng Bin Li
• Keywords: BP Neural Network (BPNN), City Emergency Management System, Result Evaluation

References

[1] Yingzi Liu, Qingsong Hu, Based on artificial neural network identification method in stage of enterprise information. Science and Technology Progress and Policy, Vol 21, pp.156-158, Jul 2004(In Chinese)

[2] Hong Chi, Mingliang Qi, Lei Ji, Hong Zhao, Study on city public emergency management system. China Security &Protection, pp.42-51, April 2005(In Chinese)

[3] Ershi Qi, Song Wang, City emergency management system construction and system analysis. Modern Management Science, pp.3-4, Jul 2008 (In Chinese)

[4] Guoyong Li, Neuro-fuzzy control theory and application, Electronics Industry Publishing, 2009(In Chinese)

[5] Zhenyu Xu, Xuesong Guo, Based on customer satisfaction to evaluate emergency management information system, Journal of Intelligence, Vol 30, pp.161-165, Mar 2011(In Chinese)

[6] Ming Liu, Gao Yan, Construction project emergency management system, Project Management Technology, Vol 9, pp.61-65, Mar 2011(In Chinese)