Pattern classification and recognition of invertebrate functional groups using self-organizing neural networks

Environmental Monitoring and Assessment

Volumn 130, Issue 1-3, 2007, Pages 415-422

  Zhang, WenJun ^a  

^a SUN YAT SEN UNIVERSITY   (China)

Author keywords

Classification and recognition; Indicator system; Invertebrate functional groups; Neural networks

Indexed keywords

IMAGE CLASSIFICATION; INDICATORS (INSTRUMENTS); NEURONS; PATTERN RECOGNITION;

INVERTEBRATE FUNCTIONAL GROUPS; SELF-ORGANIZING COMPETITIVE LEARNING NEURAL NETWORKS;

SELF ORGANIZING MAPS;

SURFACE WATER;

ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; ECOSYSTEM FUNCTION; FUNCTIONAL GROUP; INVERTEBRATE; ONE-DIMENSIONAL MODELING; PADDY FIELD; PATTERN RECOGNITION; PERFORMANCE ASSESSMENT; SELF ORGANIZATION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; ECOSYSTEM; ENVIRONMENTAL MONITORING; INVERTEBRATE; IRRIGATION (AGRICULTURE); NEUSTON; PARASITOID; PREDATOR; PREY; RELIABILITY; RICE; TAXONOMY; TERRESTRIAL SPECIES;

ANIMALS; CHINA; ENVIRONMENTAL MONITORING; INVERTEBRATES; NEURAL NETWORKS (COMPUTER); SAMPLING STUDIES;

AGROMYZIDAE; INVERTEBRATA;

EID: 34249903625     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-006-9432-1     Document Type: Article

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