A projection pursuit learning network for modeling temperature drift of FOG

Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

Volumn 1, Issue , 2003, Pages 87-90

  Hangwei, Bian ^a,b   Zkihua, Jin ^a   Weifeng, Tian ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b NAVAL UNIVERSITY OF ENGINEERING   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL TEMPERATURE; FIBER OPTICAL GYROSCOPES; MULTI VARIABLES; NONLINEAR TIME SERIES; NUMERICAL RESULTS; PROJECTION PURSUIT LEARNING NETWORK; PROJECTION PURSUITS; TEMPERATURE DRIFTS; TESTED DATA;

FOG; GYROSCOPES; LEARNING SYSTEMS; NUMERICAL METHODS; SIGNAL PROCESSING; TIME SERIES;

NEURAL NETWORKS;

EID: 35048817714     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNNSP.2003.1279219     Document Type: Conference Paper

References (5)

1. Yan Fengping, Lan Huijuan, Jian Shuisheng, "Investigation of the temperature compensated method for fiber optic gyros", Acta Optica Sinica, 1999, 19(7): 968-974 (Pubitemid 30570455)
2. Cheng Yuming, Zhang Yanhua, "Nonlinear model identification of fiber optic gyroscope's temperature drift", Journal of Shanghai Jiao Tong University. 1997, 31(12): 123-125
3. Zheng Tian, "The study of computer-intensive methods: non-parametric regression and non-linear time series models", University Dortmund Germany, 1994
4. R. Thawonmas, "A Neural Network Model for Projection Pursiut", Proc. International workshop on Recent Advance in Soft Computing 99, Leicester, U.K., July 1999
5. J.H. Friedman, "Classification and multiple regression through projection pursuit", Technical Report No. 12, Department of statistics, Stanford University, January 1985.