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.


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    Title :

    Artificial Neural Networks application to MMG temperature calibration


    Contributors:


    Publication date :

    2019-10-01


    Size :

    440039 byte



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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