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

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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Bibliographic Details
Main Authors: Antonio Sánchez-Esguevillas, Luis Hernández, Belén Carro, Lorena Calavia, Carlos Baladrón, Javier M. Aguiar
Format: Article
Language:English
Published: MDPI AG 2012-02-01
Series:Sensors
Subjects:
artificial intelligence
artificial neural networks
data completion
data prediction
underwater sensors
Online Access:http://www.mdpi.com/1424-8220/12/2/1468/

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