Improved BP Neural Network and Its Application in Ship-Based Navigation System

Authors :: Jianjuan Liu
Source :: 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics.
Publication Year :: 2009
Publisher :: IEEE, 2009.
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.

Subjects :: Engineering
Artificial neural network
business.industry
Real-time computing
Improved algorithm
Navigation system
Kalman filter
Transfer function
Backpropagation
Filter (video)
Computer vision
Artificial intelligence
business
Divergence (statistics)

Database :: OpenAIRE
Journal :: 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics
Accession number :: edsair.doi...........c642fe4f31c19dfe1f55bc6e6cd8d665
Full Text :: https://doi.org/10.1109/ihmsc.2009.163