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HIS
2004
13 years 6 months ago
Selection of Time Series Forecasting Models based on Performance Information
In this work, we proposed to use the Zoomed Ranking approach to rank and select time series models. Zoomed Ranking, originally proposed to generate a ranking of candidate algorith...
Patrícia Maforte dos Santos, Teresa Bernard...
IJCNN
2007
IEEE
13 years 11 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...
IJIT
2004
13 years 6 months ago
Forecasting Enrollment Model Based on First-Order Fuzzy Time Series
-- This paper proposes a novel improvement of forecasting approach based on using time-invariant fuzzy time series. In contrast to traditional forecasting methods, fuzzy time serie...
Melike Sah, Konstantin Y. Degtiarev
ESWA
2007
96views more  ESWA 2007»
13 years 4 months ago
Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models
Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem ar...
José Luis Aznarte, José Manuel Benit...
ICANN
2010
Springer
13 years 5 months ago
A Feature Selection Method for Air Quality Forecasting
Abstract. Local air quality forecasting can be made on the basis of meteorological and air pollution time series. Such data contain redundant information. Partial mutual informatio...
Luca Mesin, Fiammetta Orione, Riccardo Taormina, E...