An artificial neural network model for the prediction of bruxism by means of occlusal variables.
Angel Álvarez-ArenalHéctor deLlanos-LancharesElena Martín FernándezMario Mauvezin-QuevedoMaría Luisa Sánchez RodríguezFrancisco Javier de Cos JuezPublished in: Neural Comput. Appl. (2020)
Keyphrases
- computational model
- prediction model
- probability distribution
- theoretical analysis
- neural network
- objective function
- cost function
- statistical model
- structural model
- database
- formal model
- simulation model
- conceptual model
- experimental data
- theoretical framework
- random variables
- prediction accuracy
- parameter estimation
- least squares
- prior knowledge
- learning algorithm
- information retrieval
- machine learning