Assessment of Deep Neural Network Models for Direct and Recursive Multi-Step Prediction of PM10 in Southern Spain

Assessment of Deep Neural Network Models for Direct and Recursive Multi-Step Prediction of PM10 in Southern Spain

Western Europe has been strongly affected in the last decades by Saharan dust incursions, causing a high PM10 concentration and red rain. In this study, dust events and the performance of seven neural network prediction models, including convolutional neural networks (CNN) and recurrent neural netwo...

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Bibliographic Details
Main Authors: Javier Gómez-Gómez, Eduardo Gutiérrez de Ravé, Francisco J. Jiménez-Hornero
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Forecasting
Subjects:
PM10
Saharan dust
neural networks
convolutional neural networks
recurrent neural networks
recursive prediction
Online Access:https://www.mdpi.com/2571-9394/7/1/6
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