Using time lagged input data to improve prediction of stinging jellyfish occurrence at New Zealand beaches by multi-layer perceptrons

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

Volumn 5506 LNCS, Issue PART 1, 2009, Pages 909-916

  Pontin, David R ^a   Worner, Sue P ^a   Watts, Michael J ^b  

^a LINCOLN UNIVERSITY   (New Zealand)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ECOSYSTEM LEVELS; ENVIRONMENTAL CHANGE; INPUT DATAS; KAPPA STATISTIC; MLP MODEL; MULTI-LAYER PERCEPTRONS; NEW ZEALAND; OCEANIC CONDITIONS; OCEANOGRAPHIC CONDITIONS; OCEANOGRAPHIC DATA; POTENTIAL CHANGE; TIME INTERVAL;

BEACHES; CYBERNETICS; DATA PROCESSING; INPUT OUTPUT PROGRAMS;

PATTERN RECOGNITION SYSTEMS;

EID: 70349135091     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02490-0_111     Document Type: Conference Paper

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