Performance Study of the Application of Artificial Neural Networks to the Completion and Prediction of Data Retrieved by Underwater Sensors

This paper presents a proposal for an Artificial Neural Network (ANN)-based architecture for completion and prediction of data retrieved by underwater sensors. Due to the specific conditions under which these sensors operate, it is not uncommon for them to fail, and maintenance operations are diffic...

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Detalles Bibliográficos
Autores principales: Baladrón, Carlos, Aguiar, Javier M., Calavia, Lorena, Carro, Belén, Sánchez-Esguevillas, Antonio, Hernández, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3304122/
https://www.ncbi.nlm.nih.gov/pubmed/22438720
http://dx.doi.org/10.3390/s120201468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3304122/
https://www.ncbi.nlm.nih.gov/pubmed/22438720
http://dx.doi.org/10.3390/s120201468

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