Wavelet-artificial neural network to predict the acetone sensing by indium oxide/iron oxide nanocomposites

This study applies a hybridized wavelet transform-artificial neural network (WT-ANN) model to simulate the acetone detecting ability of the Indium oxide/Iron oxide (In(2)O(3)/Fe(2)O(3)) nanocomposite sensors. The WT-ANN has been constructed to extract the sensor resistance ratio (SRR) in the air wit...

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Detalles Bibliográficos
Autores principales: Iranmanesh, Reza, Pourahmad, Afham, Shabestani, Danial Soltani, Jazayeri, Seyed Sajjad, Sadeqi, Hamed, Akhavan, Javid, Tounsi, Abdelouahed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10015010/
https://www.ncbi.nlm.nih.gov/pubmed/36918606
http://dx.doi.org/10.1038/s41598-023-29898-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10015010/
https://www.ncbi.nlm.nih.gov/pubmed/36918606
http://dx.doi.org/10.1038/s41598-023-29898-x

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