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Autori: G. Albeanu
Editorial: I. Dzitac, F-G. Filip and M-J. Manolescu, CCC Publications, International Journal of Computers, Communications & Control, Supplementary issue - Proceedings of ICCCC 2006, 1, p.62-67, 2006.
The modelling and analysis are important actions for a large spectrum of applications. This paper considers stationary and non-stationary time series from computational point of view. Some existing techniques are reviewed for probabilistic, wavelet-based, soft computing and hybrid approaches. The functionalities of the TJMES – a Java – based software tool for time series modelling and analysis – are described both for computing and E-learning in the time series field.
Cuvinte cheie: probabilistic, wavelet and soft computing techniques for time series modeling, analysis and forecasting, Java // probabilistic, wavelet and soft computing techniques for time series modeling, analysis and forecasting, Java