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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Jicheng Ding, Jian Zhang, Weiquan Huang, Shuai Chen
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2014-10-01
Sarja:Sensors
Aiheet:
laser gyro
temperature compensation
radial basis function neural network
Kohonen network
orthogonal least squares
Linkit:http://www.mdpi.com/1424-8220/14/10/18711

Internet

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

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