DATA PROCESSING IN A MOBILE SYSTEM OF IMITATION OF ISOLATING RESPIRATORY EQUIPMENT BASED ON NEURAL NETWORK TECHNOLOGIES

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Authors

A.D. OBUKHOV, Cand. Sc., D.L. DEDOV, Cand. Sc., M.V. ZVEREV, undergraduate

Abstract

The paper considers the problem of information processing in the subsystem of the training complex ‒ a mobile system for imitation of self-contained breathing apparatus. Two problems have been identified: the need of determine new calculation formulas after replacing the system components with analogs and predicting values in case of loss of data packets during their wireless transmission. To solve them, data processing algorithms have been developed based on neural network technologies, which make it possible to automate search for calculation formulas during the transition from system components to analogs and reduce the number of data packet losses by predicting missing values. Experimental studies have confirmed the adequacy and effectiveness of the proposed algorithms. The use of neural networks in solving information processing problems has improved the accuracy of this process.

Keywords

neural networks, data processing, missing values restoration, forecasting, training complexes, simulation systems, mobile development.