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Title of Article

FORECASTING PROCESSES AND SIGNALS ON THE BASIS OF DEFINITION OF THEIR OPTIMAL BASIC PARAMETERS


Issue
5
Date
2011

Article type
scientific article
UDC
004.942
Pages
196-200
Keywords
initial data model, optimum data sampling, optimum data base parameters, predictive operators, forecasting


Authors
Kiryanov Kirill Gennadevich
Nizhegorodskiy gosuniversitet im. N.I. Lobachevskogo

Kuznetsov Egor Sergeevich
Nizhegorodskiy gosudarstvennyy tekhnicheskiy universitet im. R.E. Alekseeva


Abstract
Features of a new forecasting method and the algorithms based on the definition of optimal basic parameters of processes and signals (optimally sampled by level and time in time series) are considered. It is shown that forecasting information systems developed on the basis of this method can effectively predict processes and signals of various classes.

File (in Russian)