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Modification of an RBF ANN-Based Temperature Compensation Model of Interferometric Fiber Optical Gyroscopes
This paper presents modification of Radial Basis Function Artificial Neural Network (RBF ANN)-based temperature compensation models for Interferometric Fiber Optical Gyroscopes (IFOGs). Based on the mathematical expression of IFOG output, three temperature relevant terms are extracted, which include...
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| Опубликовано в: : | Sensors (Basel) |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2015
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4482011/ https://ncbi.nlm.nih.gov/pubmed/25985163 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s150511189 |
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