Abstract
The electronic nose is a natural match for physiologically motivated odor analysis. Both the olfactory system and the electronic nose consist of an array of chemical sensing elements and a pattern recognition system. This paper reviews different approaches to chemical data analysis (i.e., chemometrics) found in both commercial and experimental electronic nose systems. The electronic nose algorithms discussed include those based on statistical methods, standard artificial neural network approaches, and those based on advanced biological models of the olfactory system.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
