A Bio-Inspired Spiking Neural Network with Few-Shot Class-Incremental Learning for Gas Recognition

A Bio-Inspired Spiking Neural Network with Few-Shot Class-Incremental Learning for Gas Recognition

The sensitivity and selectivity profiles of gas sensors are always changed by sensor drifting, sensor aging, and the surroundings (e.g., temperature and humidity changes), which lead to a serious decline in gas recognition accuracy or even invalidation. To address this issue, the practical solution...

Full description

Bibliographic Details
Main Authors: Dexuan Huo, Jilin Zhang, Xinyu Dai, Pingping Zhang, Shumin Zhang, Xiao Yang, Jiachuang Wang, Mengwei Liu, Xuhui Sun, Hong Chen
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
spiking neural network
few-shot learning
incremental learning
gas recognition
Online Access:https://www.mdpi.com/1424-8220/23/5/2433

Internet

https://www.mdpi.com/1424-8220/23/5/2433

Similar Items