The article provides an analysis of using Artificial Neural Networks through navigation sphere. First, this paper introduces to general information about Artificial Neural Networks, shows different types and types of navigation tasks that each of them can be solved. Then the neural network is proposed for constructing a model of nonlinear coupling between the drift of the zero signal of the micromechanical gyroscope and its temperature within the temperature calibration process.
Artificial Neural Networks application to MMG temperature calibration
2019-10-01
440039 byte
Conference paper
Electronic Resource
English
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