Random error coefficient prediction of laser gyro based on LSSVM

Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering

Volumn 37, Issue 5, 2008, Pages 802-805

  Hou, Qing Jian ^a   Wang, Hong Li ^a  

^a ROCKET FORCE UNIVERSITY OF ENGINEERING   (China)

Author keywords

Genetic algorithm; Laser gyro; LSSVM; Prediction; Random error coefficient

Indexed keywords

APPLICATION PROSPECT; GENETIC OPTIMIZATION; INERTIAL INSTRUMENTS; LASER GYRO; LEAST SQUARE SUPPORT VECTOR MACHINES; LEAST SQUARE SUPPORT VECTOR REGRESSIONS; LSSVM; PREDICTION; PREDICTION ALGORITHMS; PREDICTION PRECISION; TO EFFECT;

GENETIC ALGORITHMS; GYROSCOPES; IMAGE RETRIEVAL; LASERS; REGRESSION ANALYSIS; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 58149147326     PISSN: 10072276     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. HOU Qing -jian, MIAO Dong, PENG Yun -hui. Study on modeling method for laser gyro random error [J]. Electronics Optics & Control, 2006, 13(3):78-84.
2. LI Ling-jun, ZHANG Zhou-suo, HE Zheng-jia. Research on condition trend prediction of mechanical equipment based on support vector machine [J]. Journal of Xi' an Jiaotong University, 2004, 38 (3):230-238.
3. VAPNIK V N. The Nature of Statistical Learning Theory[M]. New York: Springer-Verlag, 1995.
4. YANG Jie, YE Chen -zhou, QUAN Yong, et al. Simplified SMO algorithm for support vector regression[J]. Infrared and Laser Engineering, 2004, 33(5):533-537.
5. CHUANG C C, SU S F. Robust support vector regression networks for function approximation with outliers [J]. IEEE Transactions on Neural Networks, 2002, 13(6):1322-1330.
6. WANG Jiang, LU Song -yuan. The study of GA -SVM on turbo-generator fault diagnosis [J]. Turbine Technology, 2005, 47(1):1-16.
7. WANG Qiang, SHEN Guo -tu, YANG Bao -cheng, et al. Application of genetic algorithm in the design optimization of grating profile[J]. Infrared and Laser Engineering, 2005, 34(4):410-414.
8. WANG Chun -bai, ZHAO Bao -jun, HE Pei -kun. Adaptive segmentation method based on immune genetical algorithm [J]. Infrared and Laser Engineering, 2004, 33(2): 178-193.