Spiking Neural Networks for Structural Health Monitoring

This paper presents the first implementation of a spiking neural network (SNN) for the extraction of cepstral coefficients in structural health monitoring (SHM) applications and demonstrates the possibilities of neuromorphic computing in this field. In this regard, we show that spiking neural networ...

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Detalles Bibliográficos
Autores principales: Joseph, George Vathakkattil, Pakrashi, Vikram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740015/
https://www.ncbi.nlm.nih.gov/pubmed/36501946
http://dx.doi.org/10.3390/s22239245

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740015/
https://www.ncbi.nlm.nih.gov/pubmed/36501946
http://dx.doi.org/10.3390/s22239245

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