International Journal of Education and Management Engineering(IJEME)

ISSN: 2305-3623 (Print), ISSN: 2305-8463 (Online)

Published By: MECS Press

IJEME Vol.1, No.4, Oct. 2011

The Navigation Risk Assessment Using Wavelet Neural Network

Full Text (PDF, 309KB), PP.20-27

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Xin Cao,Shidong Fan

Index Terms

Navigation security; risk assessment; wavelet neural network


Factors that influence the security of navigation have the characteristics of dynamics, randomness, uncertainty and mutual influence, so the system of navigation security is a typical non-linear system. Due to the limitations of traditional mathematical methods solving the non-linear system, this article combines artificial neural network model and wavelet analysis to construct the wavelet neural network model for the navigation risk assessment, and puts forward the index system, weights calculation and algorithm with examples. Results shows that the wavelet neural network model for evaluating can be solved the defects such as subjective arbitrariness and the fuzzy of conclusions existing in traditional evaluation methods, and it can do better than the common artificial neural networks in fitting accuracy and convergence rate, so the application of wavelet neural network model has an important value.

Cite This Paper

Xin Cao,Shidong Fan,"The Navigation Risk Assessment Using Wavelet Neural Network", IJEME, vol.1, no.4, pp.20-27, 2011.


[1]Ehsan Hossaini-asl, Mehdi Shahbazian, "Nonlinear dynamic system control using wavelet neural network based on sampling theory," Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics, vol.5, 2009,pp.4502-4507.

[2]Xu Yangwen, "Study on Fault Diagnosis of Rotating Machinery Based on Wavelet Neural Network," 2009 International Conference on Information Technology and Computer Science, vol.3, 2009, pp.221-224.

[3]M. Norgaard, O.H. Ravn, N.K. Poulsen, L.K. Hansen, "Neural Networks for modeling and control of Dynamic Systems"(Springer, 2003).

[4]OUSSAR Y, RIVALS I, PERSONNAZ L, "Training wavelet neural networks for non-linear dynamic input-output modeling," Neuro computing, Vol. 20, Issue 1-3, 1998, pp. 173-188.

[5]Han Liqun, Artificial Neural Network Theory And Application, Design and Applications. Beijing:Chemical Industry Press, 2002.(in Chinese)

[6]ZHAO Zong-fang, "On beacon navigation and hydrographic mapping site management and information dissemination," China State Navigation Institute beacon professional Committee Surveying Group Symposium on academicexchanges collection, Vol. 3,2006,pp.243-246. (in Chinese)

[7]QIU Yun-ming, CHEN Wei-jiong, CHEN Jing-biao, "Comprehensive Environment Assessment of Navigation Safety in River Port Channels by Sea," Navigation of china, Vol. 12, 2005, pp.41-45. (in Chinese)

[8]Cong Shuang, The Theory and Application of Artificial Neural Network using MATLAB, Hefei: China Science & Technology University Press, 2009. (in Chinese)