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

N.A. Zubretskya, S.S. Fedin
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Description: 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

Reference:
 Zubretskaia, N.A. and Fedyn, S.S. (2014), “Neirosetevoe prohnozyrovanye tochnosty tekhnolohycheskykh protsessov po parametram kachestva yzhotavlyvaemoi produktsyy” [Neural network forecasting accuracy process parameters on the quality of manufactured products], Information Processing Systems, Vol. 2(118), pp. 17-20.