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Artificial neural network onto eight bit microcontroller for Secchi depth calculation

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Artificial neural network onto eight bit microcontroller for Secchi depth calculation

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Ibáñez Civera, FJ.; García Breijo, E.; Laguarda Miró, N.; Gil Sánchez, L.; Garrigues Baixauli, J.; Romero Gil, I.; Masot Peris, R.... (2011). Artificial neural network onto eight bit microcontroller for Secchi depth calculation. Sensors and Actuators B: Chemical. 156(1):132-139. doi:10.1016/j.snb.2011.04.001

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/47017

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Title: Artificial neural network onto eight bit microcontroller for Secchi depth calculation
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear
Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Universitat Politècnica de València. Instituto de Reconocimiento Molecular y Desarrollo Tecnológico - Institut de Reconeixement Molecular i Desenvolupament Tecnològic
Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient
Issued date:
Abstract:
In this paper we present a model to predict Secchi depth in water bodies by means of an artificial neural network application onto eight bit microcontroller. Water turbidity data were collected by both a Secchi disk and a ...[+]
Subjects: Artificial neural network , Secchi depth , Secchi disk , Sunlight extinction coefficient , Turbidity , Water quality , Coastal water bodies , Commercial photodiodes , Extinction coefficients , In-situ , Mediterranean sea , Neural network model , Reference method , Regression coefficient , Shallow water bodies , Water turbidity , Waterbodies , Microcontrollers , Water analysis , Neural networks
Copyrigths: Cerrado
Source:
Sensors and Actuators B: Chemical. (issn: 0925-4005 )
DOI: 10.1016/j.snb.2011.04.001
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.snb.2011.04.001
Type: Artículo

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