Forecasting models for interval-valued time series

Neurocomputing

Volumn 71, Issue 16-18, 2008, Pages 3344-3352

  Maia, André Luis S ^a   De Carvalho, Francisco De A T ^a   Ludermir, Teresa B ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

ARIMA model; Artificial neural networks; Hybrid models; Interval valued data; Symbolic data analysis; Time series

Indexed keywords

FORECASTING; MEAN SQUARE ERROR; NEURAL NETWORKS; TIME SERIES;

ARIMA MODELING; ARTIFICIAL NEURAL NETWORK MODELS; AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODELS; HYBRID MODEL; INTERVAL-VALUED DATA; MONTE CARLO EXPERIMENTS; SYMBOLIC DATA ANALYSIS; TIME SERIES FORECASTING;

TIME SERIES ANALYSIS;

ACCURACY; ARTIFICIAL NEURAL NETWORK; CONFERENCE PAPER; CONTROLLED STUDY; DATA ANALYSIS; FORECASTING; MATHEMATICAL MODEL; MONTE CARLO METHOD; PRIORITY JOURNAL; SYSTEMATIC ERROR; TIME SERIES ANALYSIS;

EID: 56549127838     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.02.022     Document Type: Conference Paper

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