A forecasting solution to the oil spill problem based on a hybrid intelligent system

Information Sciences

Volumn 180, Issue 10, 2010, Pages 2029-2043

  Baruque, Bruno ^a   Corchado, Emilio ^b   Mata, Aitor ^b   Corchado, Juan M ^b  

^a UNIVERSITY OF BURGOS   (Spain)

^b UNIVERSITY OF SALAMANCA   (Spain)

Author keywords

Case Based Reasoning; Ensembles; Fusion algorithms; Oil spill; Radial Basis Function; Self organizing memory

Indexed keywords

CBR; CBR SYSTEMS; COMPUTATIONAL METHODOLOGY; DATA CLASSIFICATION; DATA SETS; ENSEMBLES; ENVIRONMENTAL DISASTERS; ENVIRONMENTAL RISKS; FUSION ALGORITHMS; HISTORICAL DATA; HYBRID INTELLIGENT SYSTEM; OIL SLICKS; PROBLEM-BASED; RADIAL BASIS FUNCTIONS; SELF ORGANIZING; WEIGHTED VOTING;

ALGORITHMS; ATTITUDE CONTROL; BITS; CONFORMAL MAPPING; HAZARDOUS MATERIALS SPILLS; INTELLIGENT SYSTEMS; OIL SPILLS; RADIAL BASIS FUNCTION NETWORKS; SELF ORGANIZING MAPS;

CASE BASED REASONING;

EID: 77549088477     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2009.12.032     Document Type: Article

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