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Kupchyn A. Komarov V. Borokhvostov I. Bilokur M. Kuprinenko A. Mishchenko Y. Bohdanovych V. Kononov O. 《Cybernetics and Systems Analysis》2022,58(3):382-391
A method for checking the accuracy of prognostic models in the absence of experimental data for comparing the modeling results is presented. The developed neural network determines a technology class, which is compared with the results obtained using the fuzzy logic model. The model accuracy is determined by computing the root-mean-square error of the modeling and the correlation between the results obtained using the fuzzy logic model and the neural network.
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