FORECASTING PROCESSES AND SIGNALS ON THE BASIS OF DEFINITION OF THEIR OPTIMAL BASIC PARAMETERS |
5 | |
2011 |
scientific article | 004.942 | ||
196-200 | initial data model, optimum data sampling, optimum data base parameters, predictive operators, forecasting |
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. |
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