Title :
Use of variative modeling for the identification of random signals
Author :
Gubarev, V.V. ; Alsova, O.K. ; Abalov, N.V. ; Melnikov, G.A.
Author_Institution :
Dept. of Comput. Sci., Novosibirsk State Tech. Univ., Novosibirsk, Russia
Abstract :
The essence of variative (multivariant) modeling, its bases, variety, and examples of application for identification and forecasting of time series of waterborne infectious diseases are considered.
Keywords :
diseases; forecasting theory; random processes; time series; random signal identification; variative multivariant modeling; waterborne diseases time series identification; waterborne infectious diseases time series forecasting; Analytical models; Approximation methods; Data models; Diseases; Market research; Predictive models; Time series analysis; forecasting; identification; modeleteka; piecewise regression; singular spectral analysis; spectral analysis; swarm intelligence; time series; variative modeling; waterborne infectious diseases;
Conference_Titel :
Strategic Technology (IFOST), 2012 7th International Forum on
Conference_Location :
Tomsk
Print_ISBN :
978-1-4673-1772-6
DOI :
10.1109/IFOST.2012.6357662
