DESARROLLO DE UNA PLATAFORMA WEB PARA EL ANÁLISIS Y PREDICCIÓN DE SERIES TEMPORALES CON DEEP LEARNING
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2018-06-15
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Jaén: Universidad de Jaén
Resumen
Hoy en día crece cada vez más el interés por la ciencia de datos donde la predicción de series temporales tiene un papel destacado en diversos campos. El TFG consiste ene el desarrollo de una plataforma web para el análisis y predicción de series temporales. La plataforma contendrá modelos de prepocesamiento, predicción y visualización de resultados. En cada uno de estos módulos se estudiaran los métodos mas utilizados en Deep Learning.
Nowadays, there is an increasing interest in data science, where the prediction of time series has a prominent role in so many areas (medicine, economics, etc). The TFG will consist of the development of a web platform for the analysis and prediction of time series. The platform will contain a series of modules which are included: preprocessing module, prediction module, and visualizing the results. In each of these modules will study the most important methods used in Deep Learning, incorporating to the system the most representative.
Nowadays, there is an increasing interest in data science, where the prediction of time series has a prominent role in so many areas (medicine, economics, etc). The TFG will consist of the development of a web platform for the analysis and prediction of time series. The platform will contain a series of modules which are included: preprocessing module, prediction module, and visualizing the results. In each of these modules will study the most important methods used in Deep Learning, incorporating to the system the most representative.