Métodos de aprendizaje profundo para la predicción de series temporales
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2024-01-30
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Jaén: Universidad de Jaén
Resumen
Con el auge del aprendizaje automático, y especialmente el aprendizaje profundo, una gran cantidad de técnicas surgieron para intentar resolver las diferentes tareas que comprenden este tipo de dato. En este trabajo nos centraremos en el problema de la predicción de series temporales usando algoritmos de aprendizaje profundo, los cuales han demostrado ser adecuados gracias a su sobresaliente capacidad de generalización.
With the rise of machine learning, and especially deep learning, a large number of techniques emerged to try to solve different tasks, a large number of techniques emerged to try to solve the different tasks that comprise this type of data. that comprise this type of data. In this paper we will focus on the problem of time series prediction using deep learning algorithms. of time series prediction using deep learning algorithms, which have proven to be adequate thanks to their outstanding generalization capability. generalization.
With the rise of machine learning, and especially deep learning, a large number of techniques emerged to try to solve different tasks, a large number of techniques emerged to try to solve the different tasks that comprise this type of data. that comprise this type of data. In this paper we will focus on the problem of time series prediction using deep learning algorithms. of time series prediction using deep learning algorithms, which have proven to be adequate thanks to their outstanding generalization capability. generalization.