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...
| Główni autorzy: | , , , |
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| Format: | Artykuł |
| Język: | English |
| Wydane: |
MDPI AG
2014-10-01
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| Seria: | Sensors |
| Hasła przedmiotowe: | |
| Dostęp online: | http://www.mdpi.com/1424-8220/14/10/18711 |