Title :
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
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;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526179
