Temperature error compensation for fiber optic gyroscope based on CPSO-BP neural network

2015 ◽  
pp. 129-134
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Error Compensation ◽  
Fiber Optic ◽  
Temperature Error ◽  
Fiber Optic Gyroscope

Temperature Error Modeling and Real-time Compensation of Fiber Optic Gyroscope Based on PSO-SVR

2019 ◽  
Vol 48 (12) ◽  
pp. 1206002-1206002
Author(s):  
Chun-fu HUANG Chun-fu HUANG ◽  
An LI An LI ◽  
Fang-jun QIN Fang-jun QIN ◽  
Zhi WANG Zhi WANG
Keyword(s):  
Real Time ◽  
Fiber Optic ◽  
Error Modeling ◽  
Temperature Error ◽  
Fiber Optic Gyroscope

Prediction of Machine Tool Thermal Error Compensation Based on SVMR and ARM11

2015 ◽  
Vol 740 ◽  
pp. 120-126
Author(s):  
Zhi Peng Zhang ◽  
Kang Liu ◽  
Feng Guo
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Machine Tool ◽  
Bp Neural Network ◽  
Error Compensation ◽  
Thermal Error ◽  
Support Vector ◽  
Experiment Research ◽  
Further Development ◽  
Thermal Error Compensation

In order to improve the process precision of the machine tool, further development of SVMR was achieved by QT Creator. Support vector machine was applied to the ARM11 development board, SVMR model was online trained and real-time predicted the values of machine tool thermal error. Compared with the widely used BP neural network, this method has the characteristics of high compensation precision and strong generalization ability. Experiment research has proved that the stronger effectiveness and higher accuracy using this method.

Error compensation based on BP neural network for airborne laser ranging

Optik ◽  
2016 ◽  
Vol 127 (8) ◽  
pp. 4083-4088 ◽  
Author(s):  
Bing Wu ◽  
Shaojun Han ◽  
Jin Xiao ◽  
Xiaoguang Hu ◽  
Jianxin Fan
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Error Compensation ◽  
Laser Ranging ◽  
Airborne Laser
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