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Modeling of Particulate Pollutants Using a Memory-Based Recurrent Neural Network Implemented on an FPGA
The present work describes the training and subsequent implementation on an FPGA board of an LSTM neural network for the modeling and prediction of the exceedances of criteria pollutants such as nitrogen dioxide (NO(2)), carbon monoxide (CO), and particulate matter (PM(10) and PM(2.5)). Understandin...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537238/ https://www.ncbi.nlm.nih.gov/pubmed/37763967 http://dx.doi.org/10.3390/mi14091804 |