Application of neural networks to improve the accuracy characteristics of the fiber optic gyroscope

Сборник тезисов

Конференция:IV Всероссийский конгресс молодых ученых

Раздел:Инновации и урбанистика

Рубрика:Языковая культура в сфере инновационных технологий

Год:2015

Application of neural networks to improve the accuracy characteristics of the fiber optic gyroscope

Гареев Эмиль Зуфарович

Маркушевская Лариса Петровна

УДК:004.032.26

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Аннотация

This work focuses on the analysis and study of neural networks capable after learning to consider the effect of any temperature influence on the active elements with existing defects and inhomogeneities inside. In Plans to implement a neural network to allow for compensation of temperature drift of fiber-optic gyroscope.

Application of neural networks to improve the accuracy characteristics of the fiber optic gyroscope

Application of neural networks to improve the accuracy characteristics of the fiber optic gyroscope

Аннотация

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Application of neural networks to improve the accuracy characteristics of the fiber optic gyroscope

Application of neural networks to improve the accuracy characteristics of the fiber optic gyroscope

Аннотация

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