Short, medium and long term forecasting of time series using the L-Co-R algorithm

Neurocomputing

Volumn 128, Issue , 2014, Pages 433-446

  Parras Gutierrez, E ^a   Rivas, V M ^a   Garcia Arenas, M ^b   del Jesus, M J ^a  

^a UNIVERSITY OF JAÉN   (Spain)

^b Architecture and Technology ^*  (Spain)

Author keywords

Coevolutionary algorithms; Neural networks; Significant lags; Time series forecasting; Variable term horizon

Indexed keywords

CO-EVOLUTIONARY ALGORITHM; LONG-TERM FORECASTING; PREDICTION HORIZON; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS NEURAL NETWORKS; SIGNIFICANT LAGS; TIME SERIES FORECASTING; VARIABLE TERM HORIZON;

FORECASTING; NEURAL NETWORKS; TIME SERIES;

ALGORITHMS;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; CONTROLLED STUDY; EVOLUTIONARY ALGORITHM; EVOLUTIONARY RADIAL BASIS FUNCTION NEURAL NETWORK; FACTUAL DATABASE; FORECASTING; FUZZY RULE LEARNING; GENETIC ALGORITHM; LAGS COEVOLVING WITH RADIAL BASIS FUNCTION NEURAL NETWORKS ALGORITHM; LMS QUADRATIC REGRESSION; MACHINE LEARNING; NEURAL NETWORK EVOLUTIONARY PROGRAMMING; NONBIOLOGICAL MODEL; PREDICTIVE VALUE; PRIORITY JOURNAL; QUALITY CONTROL; RADIAL BASIS FUNCTION NEURAL NETWORK; STATISTICAL ANALYSIS; TIME SERIES ANALYSIS;

EID: 84893663143     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.08.023     Document Type: Article

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