Classification and identification of mosquito species using artificial neural networks

Computational Biology and Chemistry

Volumn 32, Issue 6, 2008, Pages 442-447

  Banerjee, Amit Kumar ^a   Kiran, K ^a   Murty, U S N ^a   Venkateswarlu, Ch ^a  

^a INDIAN INSTITUTE OF CHEMICAL TECHNOLOGY   (India)

Author keywords

Anopheles; Artificial neural network; Internal transcribed spacer 2; Malaria; Mosquitoes

Indexed keywords

BACKPROPAGATION; FEEDBACK CONTROL; FEEDFORWARD NEURAL NETWORKS; IMAGE CLASSIFICATION; INSECT CONTROL; MATHEMATICAL MODELS; MOSQUITO CONTROL; NETWORK PROTOCOLS; NUCLEIC ACIDS; ORGANIC ACIDS; PEST CONTROL; PROGRAMMING THEORY; SENSOR NETWORKS; TRANSCRIPTION; VECTORS; VEGETATION;

ANOPHELES; ARTIFICIAL NEURAL NETWORK; INTERNAL TRANSCRIBED SPACER 2; MALARIA; MOSQUITOES;

NEURAL NETWORKS;

ALGORITHM; ANIMAL; ANOPHELES; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; SPECIES DIFFERENCE;

ALGORITHMS; ANIMALS; ANOPHELES; NEURAL NETWORKS (COMPUTER); SPECIES SPECIFICITY;

ANOPHELES (GENUS);

EID: 54149107969     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2008.07.020     Document Type: Article

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