Hybrid soft computing schemes for the prediction of import demand of crude oil in Taiwan

Mathematical Problems in Engineering

Volumn 2014, Issue , 2014, Pages

  Shao, Yuehjen E ^a   Lu, Chi Jie ^b   Hou, Chia Ding ^a  

^a FU JEN CATHOLIC UNIVERSITY   (Taiwan)

^b CHING YUN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CRUDE OIL; ENERGY RESOURCES; LINEAR REGRESSION; MEAN SQUARE ERROR; NEURAL NETWORKS; SOFT COMPUTING;

EXPLANATORY VARIABLES; EXTREME LEARNING MACHINE; MEAN ABSOLUTE DIFFERENCES; MEAN ABSOLUTE PERCENTAGE ERROR; MULTIPLE LINEAR REGRESSIONS; NON-RENEWABLE ENERGY RESOURCES; ROOT MEAN SQUARE ERRORS; SUPPORT VECTOR REGRESSION (SVR);

FORECASTING;

EID: 84901037072     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2014/257947     Document Type: Article

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