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ASME Press Select Proceedings
International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)
Editor
V. E. Muhin
V. E. Muhin
National Technical University of Ukraine
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W. B. Hu
W. B. Hu
Wuhan University
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ISBN:
9780791859742
No. of Pages:
656
Publisher:
ASME Press
Publication date:
2011

This paper, aiming at the dynamic non-linear feature of typhoon rainstorm amount, proposes the method of typhoon rainstorm amount estimation model based-on Elman neural network. After the empirical analysis, we compare the result with that of BP neural network and of linear regression model, which shows that the method is effective and it is a new approach to estimate the typhoon rainstorm amount.

Abstract
Keywords
Artificial Neural Network
Overview of Elman Neural Netweok
Empirical Analysis of Typhoon Rainstorm Amount Estimation
Conclusion
Acknowledgment
References
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