RT info:eu-repo/semantics/doctoralThesis
T1 Application of machine learning techniques to optical communication systems and networks
A1 Mata Gómez, Francisco Javier
A2 Universidad de Valladolid. Escuela Técnica Superior de Ingenieros de Telecomunicación
K1 Redes ópticas
K1 Aprendizaje automático
K1 Árboles de decisión
K1 Máquinas de vectores - Soporte
K1 Regresión logística
AB This TFM reviews the application of machine learning techniques in optical communication systems and networks. In addition, it studies and compares the characteristics of various machine learning methods, such as: support vector machines, logistic regression, decision trees and random forests, to predict the quality of transmission when using optical circuits in wavelength routed optical communication networks. The models developed in this TFM offer better performance than previous proposals, mainly in terms of computing time, making possible its use in online mode even in highly dynamic networks, in addition to being simpler.
YR 2017
FD 2017
LK http://uvadoc.uva.es/handle/10324/27626
UL http://uvadoc.uva.es/handle/10324/27626
LA eng
NO Departamento de Teoría de la Señal y Comunicaciones e Ingeniería Telemática
DS UVaDOC
RD 23-nov-2024