DocumentCode
2439607
Title
Improved BP Neural Network and Its Application in Ship-Based Navigation System
Author
Liu, Jianjuan
Author_Institution
Dept. of Electr. Eng., Henan Univ. of Technol., Zhengzhou, China
Volume
2
fYear
2009
fDate
26-27 Aug. 2009
Firstpage
158
Lastpage
161
Abstract
Poor environment of ship-based navigation system usually leads to decrease in navigation precision and even leads to divergence. BP neural network is introduced to solve this problem. According to characteristics of the navigation system, conventional BP algorithm is improved. And the improved algorithm is used in the ship-based navigation system. The simulation results show that the algorithm can overcome the problem of the navigation system, and ensure the normal operation of the filter.
Keywords
backpropagation; navigation; neural nets; ships; BP neural network; divergence; navigation precision; ship-based navigation system; Artificial neural networks; Convergence; Cybernetics; Filters; Intelligent networks; Intelligent systems; Man machine systems; Navigation; Neural networks; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
Conference_Location
Hangzhou, Zhejiang
Print_ISBN
978-0-7695-3752-8
Type
conf
DOI
10.1109/IHMSC.2009.163
Filename
5336022
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