ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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2
Issue
vol 60 / FEBRUARY, 2017
Article
UDC 664.7:681.268

APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR EVALUATION OF GRANULAR SUSBSTANCE FLOW

V. S. Afonin
I. I. Polzunov Altai State Technical University, Department of Information Technologies, Barnaul;


D. E. Krivobokov
I. I. Polzunov Altai State Technical University, Department of Information Technologies, Barnaul;


Abstract. A method is proposed for estimation of dependence between primary measuring capacitor sensor output signal and density of grain flow based on neural network technologies. Description of the method and results of investigation are presented.
Keywords: flow measuring, grain, primary capacitor sensor, neural network technologies