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  5. Neural network forecasting accuracy process parameters on the quality of manufactured products

Neural network forecasting accuracy process parameters on the quality of manufactured products

N.A. Zubretskya, S.S. Fedin
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An adaptive neural network model for forecasting the accuracy of process parameters on the quality of manufactured products. The model was implementation of which is carried out on the example of forecasting deviations of parts such as shaft diameter from the nominal value.
Keywords: neural network model, forecasting, accuracy, process, time series, shaft diameter