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: Ding, Jicheng, Zhang, Jian, Huang, Weiquan, Chen, Shuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239900/
https://www.ncbi.nlm.nih.gov/pubmed/25302814
http://dx.doi.org/10.3390/s141018711

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239900/
https://www.ncbi.nlm.nih.gov/pubmed/25302814
http://dx.doi.org/10.3390/s141018711

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