Using artificial neural networks to classify unknown volatile chemicals from the firings of insect olfactory sensory neurons

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 2752-2755

  Bachtiar, Luqman R ^a   Unsworth, Charles P ^a   Newcomb, Richard D ^b   Crampin, Edmund J ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b THE NEW ZEALAND INSTITUTE FOR PLANT AND FOOD RESEARCH LIMITED   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CHEMICAL CLASS; DROSOPHILA MELANOGASTER; FIRING RATES; MULTI-LAYER PERCEPTRONS; NOISE INJECTION; OLFACTORY SENSORY NEURONS; OLFACTORY SYSTEMS; ROBUST METHODS; VOLATILE CHEMICALS;

ACETIC ACID; BIOSENSORS; CHEMICAL COMPOUNDS; INDICATORS (CHEMICAL); NEURONS; PATTERN RECOGNITION SYSTEMS;

NEURAL NETWORKS;

VOLATILE ORGANIC COMPOUND;

ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; INSECT; ODOR; OLFACTORY RECEPTOR; PHYSIOLOGY;

ANIMALS; INSECTS; NEURAL NETWORKS (COMPUTER); ODORS; OLFACTORY RECEPTOR NEURONS; VOLATILE ORGANIC COMPOUNDS;

EID: 84862619042     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090754     Document Type: Conference Paper

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20. rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Accepted).