FORECASTING OF GENERALIZED INDICATOR RECEPTION AND CONTROL DEVICES BY METHOD OF TRAINING NEURAL NETWORK
The multidimensional calibration model of the generalized indicator of quality of reception and control devices is considered. For a prediction of values of an indicator of the new device methods of neural modeling are used. Neural networks are compared to various volume of reference data and the solution of the problem of a multicollinearity is shown.