Real-Time Classification of Multivariate Olfaction Data Using Spiking Neural Networks

Real-Time Classification of Multivariate Olfaction Data Using Spiking Neural Networks

Recent studies in bioinspired artificial olfaction, especially those detailing the application of spike-based neuromorphic methods, have led to promising developments towards overcoming the limitations of traditional approaches, such as complexity in handling multivariate data, computational and pow...

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Bibliographic Details
Main Authors: Anup Vanarse, Adam Osseiran, Alexander Rassau
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
neuromorphic olfaction
electronic nose systems
bioinspired artificial olfaction
multi-variate data classification
SNN-based classification
Online Access:https://www.mdpi.com/1424-8220/19/8/1841

Internet

https://www.mdpi.com/1424-8220/19/8/1841

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