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EUSFLAT
2009
148views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Fuzzy Tendency based Time Series Model for Forecasting Server Traffic
- For modeling of change of terminal server load, the approach including representation of time series of server parameters in the form of fuzzy time series is used. Further in the...
Nadezhda Yarushkina, Tagir Unusov, Tatyana Afanasy...
CDC
2008
IEEE
141views Control Systems» more  CDC 2008»
14 years 2 months ago
Generalized linear dynamic factor models - a structure theory
— In this paper we present a structure theory for generalized linear dynamic factor models (GDFM’s). Emphasis is laid on the so-called zeroless case. GDFM’s provide a way of ...
Brian D. O. Anderson, Manfred Deistler
ICANN
2010
Springer
13 years 5 months ago
Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
Juan Peralta, Germán Gutiérrez, Arac...
CSDA
2006
191views more  CSDA 2006»
13 years 7 months ago
Forecasting daily time series using periodic unobserved components time series models
We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend, seasonal and irregu...
Siem Jan Koopman, Marius Ooms
IJCNN
2007
IEEE
14 years 2 months ago
Local Learning of Tide Level Time Series using a Fuzzy Approach
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
E. Canestrelli, P. Canestrelli, Marco Corazza, Mau...