Application of Convolutional Long Short-Term Memory Neural Networks to Signals Collected from a Sensor Network for Autonomous Gas Source Localization in Outdoor Environments

Convolutional Long Short-Term Memory Neural Networks (CNN-LSTM) are a variant of recurrent neural networks (RNN) that can extract spatial features in addition to classifying or making predictions from sequential data. In this paper, we analyzed the use of CNN-LSTM for gas source localization (GSL) i...

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Detalles Bibliográficos
Autores principales: Bilgera, Christian, Yamamoto, Akifumi, Sawano, Maki, Matsukura, Haruka, Ishida, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308690/
https://www.ncbi.nlm.nih.gov/pubmed/30567386
http://dx.doi.org/10.3390/s18124484

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308690/
https://www.ncbi.nlm.nih.gov/pubmed/30567386
http://dx.doi.org/10.3390/s18124484

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