Case Study—Spiking Neural Network Hardware System for Structural Health Monitoring

This case study provides feasibility analysis of adapting Spiking Neural Networks (SNN) based Structural Health Monitoring (SHM) system to explore low-cost solution for inspection of structural health of damaged buildings which survived after natural disaster that is, earthquakes or similar activiti...

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Detalles Bibliográficos
Autores principales: Pang, Lili, Liu, Junxiu, Harkin, Jim, Martin, George, McElholm, Malachy, Javed, Aqib, McDaid, Liam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570929/
https://www.ncbi.nlm.nih.gov/pubmed/32911869
http://dx.doi.org/10.3390/s20185126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570929/
https://www.ncbi.nlm.nih.gov/pubmed/32911869
http://dx.doi.org/10.3390/s20185126

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