Estimation of pseudo-range DGPS corrections using Neural Networks trained by evolutionary algorithms

International Review of Electrical Engineering

Volumn 5, Issue 6, 2010, Pages 2715-2721

  Mosavi, M R ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Back propagation; Differential GPS; Genetic algorithm; Improvement; Neural network; Particle swarm optimization

Indexed keywords

EID: 79956208084     PISSN: 18276660     EISSN: 25332244     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. K. D. McDonald, The Modernization of GPS: Plans, New Capabilities, and the Future Relationship to Galileo, Journal of Global Positioning System, Vol.1, No.1, pp.1-17, 2002.
2. K. L. V. Dyke, The World after SA: Benefits to GPS Integrity, IEEE Conference on Position, Location, and Navigation, pp.387-394, 2000.
3. M. R. Mosavi, GPS Receivers Timing Data Processing using Neural Networks: Optimal Estimation and Errors Modeling, Journal of Neural Systems, Vol.17, No.5, pp.383-393, 2007.
4. A. Indriyatmoko, T. Kang, Y. J. Lee, G. I. Jee, Y. B. Cho, and J. Kim, Artificial Neural Networks for Predicting DGPS Carrier Phase and Pseudo-Range Correction, Journal of GPS Solutions, Vol.12, No.4, pp.237-247, 2008.
5. A. K. Jain, J. Mao, and K. Mohiuddin, Artificial Neural Networks: A Tutorial, IEEE Transactions on Computer, Vol.29, No.3, pp.31-44, 1996.
6. J. Sang, K. Kubik, and L. Zhang, Prediction of DGPS Corrections with Neural Networks, IEEE Conference on Knowledge-based Intelligent Electronic Systems, pp.355-361, 1997.
7. M. N. H. Siddique and M. O. Tokhi, Training Neural Networks: Back Propagation vs Genetic Algorithms, IEEE Conference on Neural Networks, pp.2673-2678, 2001.
8. Sh. Akbari and M. K. Amooshahi, Power System Stabilizer Design using Evolutionary Algorithms, International Review of Electrical Engineering, Vol.4, No.5, pp.925-931, 2009.
9. M. R. Mosavi, Precise Real-Time Positioning with a Low Cost GPS Engine using Neural Networks, Journal of Survey Review, Vol.39, No.306, pp.316-327, 2007.
10. A. K. Jain, J. Mao, and K. Mohiuddin, Artificial Neural Networks: A Tutorial, IEEE Transactions on Computer, Vol.29, No.3, pp.31-44, 1996.
11. B. Widrow and M. A. Lehr, 30 Years of Adaptive Neural Networks: Perceptron, Madaline, and Back-Propagation, Proceedings of The IEEE, Vol.78, No.9, pp.1415-1442, 1990.
12. R. Shivakumar, R. Lakshmipathi, and M. Panneerselvam, Power System Stability Enhancement using Bio Inspired Genetic and PSO Algorithm Implementation, International Review of Electrical Engineering, Vol.5, No.4, pp.1609-1615, 2010.
13. S. Kumanan, S. K. N. Saheb, and C. P. Jesuthanam, Prediction of Machining Forces using Neural Networks Trained by a Genetic Algorithm, Journal of Institution of Engineers, Vol.87, pp.11-15, 2006.
14. J. Kennedy and R. Eberhart, Particle Swarm Optimization, IEEE Conference on Neural Networks, pp.1942-1948, 1995.
15. S. J. Li, X. J. Zhang, and F. Qian, Soft Sensing Modeling via Artificial Neural Network based on PSO-Alopex, IEEE Conference on Machine Learning and Cybernetics, pp.4210- 4215, 2005.
16. MicroTracker LP Designer's Guide, Rockwell International Corporation, GPS-22, 1995.
17. M. R. Mosavi and M. Sarraf, Precise Modeling of GPS GDOP using Neural Network, International Review of Modelling and Simulations, Vol.3, No.4, pp.665-671, 2010.