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...
| Autori principali: | , , , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
MDPI AG
2014-10-01
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| Serie: | Sensors |
| Soggetti: | |
| Accesso online: | http://www.mdpi.com/1424-8220/14/10/18711 |