The BP neural network prediction rudder fall mouth water level and optimization of array parameters

Author

Wu Zhen Yuan ; Wang Xin Ya

Author_Institution

Coll. Math. China, China Univ. of Geosci. Math. & Phys., Wuhan, China

fYear

2012

fDate

29-31 Dec. 2012

Firstpage

1386

Lastpage

1390

Abstract

In this paper, using a three layers BP network to realize complete prior to hankou flood computation simulation data, the data and hankou actual historical flood water level data comparison, using statistical method transfer function obtained the optimal combination, hidden layer neurons optimal number, the optimal parameters was selected. Provides a forecast level method, forecast water level data available for all levels of leadership and professional and technical personnel reference.

Keywords

backpropagation; floods; geophysics computing; optimisation; statistical analysis; transfer functions; BP neural network prediction rudder fall mouth water level; forecast level method; forecast water level data; hankou actual historical flood water level data; hankou flood computation simulation data; hidden layer neurons optimal number; optimal combination; statistical method transfer function; three layers BP network; The BP neural network the mapping; mean square error; transfer function and neurons; was;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4673-2963-7

Type

conf

DOI

10.1109/ICCSNT.2012.6526179

Filename

6526179