Using Multilayer Perceptron Computation to Discover Ideal Insect Olfactory Receptor Combinations in the Mosquito and Fruit Fly for an Efficient Electronic Nose

DOI10.1162/NECO_a_00691zbMath1414.92075WikidataQ44146538 ScholiaQ44146538MaRDI QIDQ5380187

Richard D. Newcomb, C. P. Unsworth, Luqman R. Bachtiar

Publication date: 4 June 2019

Published in: Neural Computation (Search for Journal in Brave)

zbMATH Keywords

artificial neural networkselectronic noseinsect olfactory receptormultilayer perceptron computation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Physiology (general) (92C30)

Uses Software

• rms
• chemCal
• bootstrap

Cites Work

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• Inhibition in Multiclass Classification
• Multilayer Perceptron Classification of Unknown Volatile Chemicals from the Firing Rates of Insect Olfactory Sensory Neurons and Its Application to Biosensor Design
• A logical calculus of the ideas immanent in nervous activity
• Regression modeling strategies. With applications to linear models, logistic regression and survival analysis

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