Can machine learning techniques help to improve the common fisheries policy?

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7903 LNCS, Issue PART 2, 2013, Pages 278-286

  Pérez Ortiz, María ^a   Colmenarejo, Rosa ^a   Fernández Caballero, Juan Carlos ^a   Hervás Martínez, César ^a  

^a UNIVERSITY OF CÓRDOBA   (Spain)

Author keywords

Commitment to sustainability; Common Fisheries Policy; Fleet Overcapacity; Machine learning; Ordinal Classification

Indexed keywords

ENVIRONMENTAL IMPACT STUDY; FISHERIES POLICY; FISHING FLEETS; FISHING GEARS; MACHINE LEARNING TECHNIQUES; ORDINAL CLASSIFICATION; OVER CAPACITY; OVEREXPLOITATION;

FISH; LEARNING SYSTEMS; NEURAL NETWORKS; SUSTAINABLE DEVELOPMENT;

FISHERIES;

EID: 84880063904     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38682-4_31     Document Type: Conference Paper

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