TRENDS IN THE DEVELOPMENT OF METHODS FOR DIAGNOSTICS OF THE TECHNICAL STATE OF THE BLADES OF GAS-PUMPING UNITS
Leonid Zamikhovsky, Olena Zamikhovska , Nataliia Ivanyuk Object of research: degradation processes occurring in the blades of a gas-pumping unit (GPU) during its long-term operation and cause the appearance of defects that lead to a change in their technical condition and breakage of the working blades and, as a result, to accidents. Solved problem: obtaining […]
METHODS FOR INCREASING THE CLASSIFICATION ACCURACY BASED ON MODIFICATIONS OF THE BASIC ARCHITECTURE OF CONVOLUTIONAL NEURAL NETWORKS
Svitlana Shapovalova, Yurii Moskalenko Object of research: basic architectures of deep learning neural networks. Investigated problem: insufficient accuracy of solving the classification problem based on the basic architectures of deep learning neural networks. An increase in accuracy requires a significant complication of the architecture, which, in turn, leads to an increase in the required computing resources, as […]
MULTI-SCALE MODEL ELABORATION FOR CREDITWORTHINESS DIAGNOSTICS OF EXPORT PRODUCTION ENTERPRISES OF THE AGRICULTURAL TRADE MARKET
Olena Sergienko, Olena Shapran, Oleksandr Bilotserkivskyi, Iryna Alieksieieva The methodology for the agrarian enterprises’ creditworthiness diagnostic has been developed and implemented, and has allowed to solve the following objectives: conducting of observations and evaluating of financially-economic indicators, classification of enterprises by the level of creditworthiness, distinction and identification enterprises according to the level of creditworthiness […]