Perspective Chapter: Airborne Pollution (PM2.5) Forecasting Using Long Short-Term Memory Deep Recurrent Neural Network Optimized by Gaussian Process

Forecasting air pollution is a challenging problem today that requires special attention in large cities since they are home to millions of people who are at risk of respiratory diseases every day. At the same time, there has been exponential growth in the research and application of deep learning,...

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Autores principales:	Olguin-Sanchez, Marco Antonio, Aceves-Fernández, Marco Antonio, Pedraza-Ortega, Jesus Carlos, Ramos-Arreguín, Juan Manuel
Formato:	Capítulo de libro
Lenguaje:	inglés
Publicado:	IntechOpen 2022
Materias:	Physical Sciences, Engineering and Technology
Acceso en línea:	https://www.intechopen.com/chapters/84774
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