Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species

Ecological Informatics

Volumn 25, Issue , 2015, Pages 35-42

  Fernandes, Jose A ^a,b,c   Irigoien, Xabier ^b,d   Lozano, Jose A ^c   Inza, Iñaki ^c   Goikoetxea, Nerea ^b   Pérez, Aritz ^c  

^a PLYMOUTH MARINE LABORATORY   (United Kingdom)

^b MARINE RESEARCH DIVISION   (Spain)

^c UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

^d KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

Author keywords

Bayesian networks; Fisheries management; Kernel density estimation; Pelagic fish; Recruitment forecasting; Supervised classification

Indexed keywords

BAYESIAN ANALYSIS; DECISION MAKING; ENVIRONMENTAL CONDITIONS; FISHERY MANAGEMENT; FORECASTING METHOD; IMAGE CLASSIFICATION; PELAGIC FISH; RECRUITMENT (POPULATION DYNAMICS); TELEOST;

ATLANTIC OCEAN; ATLANTIC OCEAN (NORTHEAST);

EID: 84913533945     PISSN: 15749541     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoinf.2014.11.004     Document Type: Article

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