A Generalized Discriminative Least Squares Regression Model

2017 ◽  
Author(s):  
Haoliang Yuan ◽  
Junjie Zheng ◽  
Fangyuan Xu ◽  
Loi Lei Lai ◽  
Weiyang Li ◽  
...  
Keyword(s):  
Regression Model ◽  
Least Squares ◽  
Least Squares Regression

scholarly journals Correction: Accuracy improvement of boron by molecular emission with a genetic algorithm and partial least squares regression model in laser-induced breakdown spectroscopy

2020 ◽  
Vol 35 (7) ◽  
pp. 1498-1498
Author(s):  
Zhihao Zhu ◽  
Jiaming Li ◽  
Yangmin Guo ◽  
Xiao Cheng ◽  
Yun Tang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Regression Model ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Laser Induced Breakdown Spectroscopy ◽  
Least Squares Regression ◽  
Accuracy Improvement ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Correction for ‘Accuracy improvement of boron by molecular emission with a genetic algorithm and partial least squares regression model in laser-induced breakdown spectroscopy’ by Zhihao Zhu et al., J. Anal. At. Spectrom., 2018, 33, 205–209, DOI: 10.1039/C7JA00356K.

Temperature Compensation of RLG’s Bias Based on LS-SVM

2011 ◽  
Vol 298 ◽  
pp. 1-6
Author(s):  
Guo Wei ◽  
Peng Fei Zhang ◽  
Xun Jin ◽  
Xing Wu Long
Keyword(s):  
Neural Networks ◽  
Support Vector Machine ◽  
Regression Model ◽  
Least Squares ◽  
Ring Laser ◽  
Temperature Compensation ◽  
Maximum Error ◽  
Support Vector ◽  
Least Squares Regression ◽  
Dynamic Temperature

. Bias of ring laser gyro (RLG) changes with temperature in the non-linear way, which is an important restraining factor for improving the accuracy of RLG. For the deficiency of least squares regression and neural networks, a new method of temperature compensation of RLG’s bias was proposed, that is, building function regression model by using Least Squares-Support Vector Machine(LS-SVM). Static and dynamic temperature experiments of RLG’s bias are carried out. The results show that: after static temperature compensation, the maximum error of RLG’s bias has dropped from 0.0413º/hr to 0.00073º/hr; while after dynamic temperature compensation, the gyro precision has increased from = 0.0102º/hr to = 0.0011º/hr. It indicates that this method has improved the laser gyro’s accuracy considerably.

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