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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Detaylı Bibliyografya
Asıl Yazarlar: Jicheng Ding, Jian Zhang, Weiquan Huang, Shuai Chen
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2014-10-01
Seri Bilgileri:Sensors
Konular:
laser gyro
temperature compensation
radial basis function neural network
Kohonen network
orthogonal least squares
Online Erişim:http://www.mdpi.com/1424-8220/14/10/18711

Internet

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

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