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...

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Detalles Bibliográficos
Autores principales: Huo, Dexuan, Zhang, Jilin, Dai, Xinyu, Zhang, Pingping, Zhang, Shumin, Yang, Xiao, Wang, Jiachuang, Liu, Mengwei, Sun, Xuhui, Chen, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006916/
https://www.ncbi.nlm.nih.gov/pubmed/36904636
http://dx.doi.org/10.3390/s23052433

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006916/
https://www.ncbi.nlm.nih.gov/pubmed/36904636
http://dx.doi.org/10.3390/s23052433

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