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...

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Detalles Bibliográficos
Autores principales: Jicheng Ding, Jian Zhang, Weiquan Huang, Shuai Chen
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2014-10-01
Colección:Sensors
Materias:
laser gyro
temperature compensation
radial basis function neural network
Kohonen network
orthogonal least squares
Acceso en línea:http://www.mdpi.com/1424-8220/14/10/18711

Internet

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

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