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 28-mar-2024