Thrips (Thysanoptera) identification using artificial neural networks

Bulletin of Entomological Research

Volumn 98, Issue 5, 2008, Pages 437-447

  Fedor, P ^a   Malenovsky I ^b   Vanhara J ^c   Sierka, W ^d   Havel, J ^c  

^a Physics and Informatics   (Slovakia)

^b DEPARTMENT OF ENTOMOLOGY   (Czech Republic)

^c MASARYK UNIVERSITY   (Czech Republic)

^d UNIVERSITY OF SILESIA   (Poland)

Author keywords

Aeolothrips; Artificial neural networks; Chirothrips; Dendrothrips; Limothrips; Routine identification; Thysanoptera

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; IDENTIFICATION KEY; MORPHOMETRY; TAXONOMY; THRIPS;

ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; EVALUATION; FACTUAL DATABASE; FEMALE; HISTOLOGY; INSECT; MALE; METHODOLOGY;

ANIMALS; CLASSIFICATION; DATABASES, FACTUAL; FEMALE; INSECTS; MALE; NEURAL NETWORKS (COMPUTER);

AEOLOTHRIPIDAE; AEOLOTHRIPS; CHIROTHRIPS; LIMOTHRIPS; THRIPIDAE; THYSANOPTERA;

EID: 53149128771     PISSN: 00074853     EISSN: 14752670     Source Type: Journal    
DOI: 10.1017/S0007485308005750     Document Type: Article

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