Title :
Improved BP Neural Network and Its Application in Ship-Based Navigation System
Author_Institution :
Dept. of Electr. Eng., Henan Univ. of Technol., Zhengzhou, China
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;
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
DOI :
10.1109/IHMSC.2009.163
