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Books
Articles by keyword forecasting model
Anomalous network traffic forecasting using time series models
R. R. Fatkieva - Ph.D. (Eng.), Senior Research Scientist, Laboratory of Computer and Information Systems, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS). E-mail: rrf@iias.spb.su
Formation of a system of boolean functions used in assessing the reliability of numerical indicators and choosing models for predicting their values in large-dimensional databases

K.V. Gusev1, A.S. Leontiev2

1–2 MIREA – Russian Technological University, Moscow 119454, Russia

Using a neural network to select methods for predicting time series in a hybrid combined model

D.V. Yashin – Post-graduate Student, Ulyanovsk State Technical University

E-mail: dv.yashin@yandex.ru

E.N. Egov – Assistant, Ulyanovsk State Technical University E-mail: e.egov@ulstu.ru

Modeling the process of failure prediction in radio electronic equipment using a recurrent neural network

I.V. Chebotar1, Yu.N. Gaichuk2, M.A. Sivash3, M.Ya. Mikhlin4

1–4 Military University of Radio Electronics (Cherepovets, Russia)

1–4 vure_nio@mil.ru

Analysis of multiservice network traffic and creation of forecasting models

N.M. Legkiy1, V.D. Sokolova2, V.I. Bogomolov3, V.E. Erkhov4, A.A. Pechnikov5

1,2 Russian Open Academy of Transport (Moscow, Russia)
3 Russian State Social University (Moscow, Russia)
1,4,5 MIREA – Russian University of Technology (Moscow, Russia)
1 legki@rambler.ru