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Listar por palabra clave "Redes neuronales recurrentes"

Mostrando ítems 1-9 de 9

Anomalous Diffusion Characterization using Machine Learning Methods

Garibo Orts, Óscar (Universitat Politècnica de València, 2023-04-18)

[ES] Durante las últimas décadas el uso del aprendizaje automático (machine learning) y de la inteligencia artificial ha mostrado un crecimiento exponencial en muchas áreas de la ciencia. El hecho de que los ordenadores ...
Arquitectura neuronal para predicción de radiación solar en base a variables meteorológicas

Benavides, Llinet; Manso, Miguel (Editorial Universitat Politècnica de València, 2021-10-01)

[EN] Solar forecasting is of great interest due to the growing use of renewable energies as an alternative to the global problems posed by current energy sources. In the last decade important advances have been achieved, ...
Comparing classic time series models and the LSTM recurrent neural network: An application to S&P 500 stocks

Oliver-Muncharaz, Javier (Asociación para la Formación y la Investigación en Ciencias Económicas y Sociales, 2020)

[EN] In the financial literature, there is great interest in the prediction of stock prices. Stock prediction is necessary for the creation of di erent investment strategies, both speculative and hedging ones. The application ...
Continuous spaces in statistical machine Translation

Peris Abril, Álvaro (Universitat Politècnica de València, 2016-07-29)

[EN] Classically, statistical machine translation relied on representations of words in a discrete space. Words and phrases were atomically represented as indices in a vector. In the last years, techniques for representing ...
Desarrollo de Soporte de Redes Recurrentes en Plataforma de Entrenamiento

Díaz Bou, Pere (Universitat Politècnica de València, 2021-09-28)

[ES] La investigación en inteligencia artificial está creciendo a un ritmo constante y gracias a ello, se están resolviendo problemas que hasta hace poco parecían imposibles. Las Redes Neuronales son unos de los algoritmos ...
Designing demand forecasting models using deep learning

Ortiz Pérez, Ángel (Universitat Politècnica de València, 2023-06-21)

[ES] En este trabajo se explorará el uso de distintos modelos de deep learning para predecir la demanda futura de un producto, lo que puede resultar de gran utilidad para la dirección operativa de una empresa. La elaboración ...
Diagnóstico de fallas mediante una LSTM y una red elástica

Márquez-Vera, M. A.; López-Ortega, O.; Ramos-Velasco, L. E.; Ortega-Mendoza, R. M.; Fernández-Neri, B. J.; Zúñiga-Peña, N. S. (Universitat Politècnica de València, 2021-04-06)

[EN] Fault diagnosis is important for industrial processes because it permits to determine the necessity of emergency stops in a process and/or to propose a maintenance plan. Two strategies for fault diagnosis are compared ...
Forecasting exchange rates using recurrent neural networks

Cuéllar Abril, Juan Julián (Universitat Politècnica de València, 2020-09-18)

[EN] FOREX is a market in which large amounts of resources are invested in order to predict changes in currency pairs as accurately as possible. In this market, machine learning is also having a great impact and numerous ...
Online Learning Techniques for Neural Translation Systems

Montalvá Minguet, Kevin (Universitat Politècnica de València, 2017-02-13)

[EN] Machine Translation systems have been used since their inception by professional translators to speed up and ease their work. Those systems receive professionally edited translations through their use, which could ...