Skip to Main Content
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
Search for other works by this author on:
W. B. Hu
W. B. Hu
Wuhan University
Search for other works by this author on:
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
This content is only available via PDF.
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal