Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations

Expert Systems with Applications

Volumn 40, Issue 6, 2013, Pages 1981-1992

  Štěpnička, Martin ^a   Cortez, Paulo ^b   Donate, Juan Peralta ^c   Štěpničková, Lenka ^a  

^a UNIVERSITY OF OSTRAVA   (Czech Republic)

^b UNIVERSITY OF MINHO   (Portugal)

^c UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

Computational intelligence; Fuzzy rules; Genetic algorithm; Neural networks; Support vector machine; Time series

Indexed keywords

COMPUTATIONAL INTELLIGENCE METHODS; COMPUTATIONAL INTELLIGENCE TECHNIQUES; DECISION MAKERS; EVOLUTIONARY ARTIFICIAL NEURAL NETWORKS; HYBRID MODEL; LINGUISTIC FUZZY RULES; MULTI-STEP; NOVEL METHODS; ORGANIZATIONAL DECISION MAKING; SEASONAL TIME SERIES; TIME SERIES FORECASTING;

ARTIFICIAL INTELLIGENCE; FUZZY RULES; GENETIC ALGORITHMS; LINGUISTICS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES; TIME SERIES;

FORECASTING;

EID: 84872836165     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.10.001     Document Type: Article

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