Cybernetics and Forecasting Techniques

algorithm Alpha amplitude approximating attributes automatic block diagram c₁ calculating characteristic modes circuit cognitive system components corrector correlation function curves d₁ decrease determine deterministic processes deviation digital computer discrete discuss distribution elements equations error criterion example exponential smoothing extrapolation feedback future values given impulse response increase interpolator interval Kolmogorov's formula linear linear filter load logical condition meteorological method minimum mean-square error nonstationary obtain open loop output parameters perceptron plant polynomial possible predicted values predicting filter predicting operator prediction accuracy prediction error prediction quality predictor probabilistic probability density function problem prototypes pulse pure randomness random function random processes random variable realization result scalar product self-teaching shown in Fig solve square error stationary processes stationary random processes t₁ Taylor series teaching sequence theory tion variation vector voltage weather forecasting weighting coefficients x₁ zero ατ