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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/45125

Title: An artificial neural network model for the prediction of bruxism by means of occlusal variables
Author(s): Álvarez Arenal, Ángel
Llanos Lanchares, Héctor de
Martín Fernández, Elena
González Gutiérrez, Carlos
Mauvezín Quevedo, Mario Andrés
Cos Juez, Francisco Javier de
Issue date: 2018
Publisher version: http://dx.doi.org/10.1007/978-3-319-67180-2_36
Series/Report no.: Advances in Intelligent Systems and Computing, 469
Format extent: p. 371-380
Description: International Joint Conference SOCO'17- CISIS'17-ICEUTE'17 Proceedings (2017. Leon, España)
URI: http://hdl.handle.net/10651/45125
ISBN: 9783319671796
ISSN: 2194-5357
Appears in Collections:Ponencias, Discursos y Conferencias

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