Математическое моделирование
The report is devoted to research of an opportunity of application of recurrent spline-approximation algorithm, exact on the polynomials of the second degree, to the analysis and forecasting of temporary series.
Is received steady recurrent evaluation process of an estimation of parameters of experimental dependence, submitted as spline of the second degree. Offered recurrent spline-scheme allows besides smoothing to catch microtrends, i.e. to carry out the short-term forecast.
Примечание. Тезисы докладов публикуются в авторской редакции
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© 1996-2000, Институт вычислительных технологий СО РАН, Новосибирск
© 1996-2000, Сибирское отделение Российской академии наук, Новосибирск