Laser Gyro Temperature Compensation Using Modified RBFNN

Laser Gyro Temperature Compensation Using Modified RBFNN

To overcome the effect of temperature on laser gyro zero bias and to stabilize the laser gyro output, this study proposes a modified radial basis function neural network (RBFNN) based on a Kohonen network and an orthogonal least squares (OLS) algorithm. The modified method, which combines the patter...

Olles dieđut

Bibliográfalaš dieđut
Váldodahkkit: Jicheng Ding, Jian Zhang, Weiquan Huang, Shuai Chen
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: MDPI AG 2014-10-01
Ráidu:Sensors
Fáttát:
laser gyro
temperature compensation
radial basis function neural network
Kohonen network
orthogonal least squares
Liŋkkat:http://www.mdpi.com/1424-8220/14/10/18711

Interneahtta

http://www.mdpi.com/1424-8220/14/10/18711

Geahča maid