Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks

Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks

Singular spectrum analysis is a powerful nonparametric technique used to decompose the original time series into a set of components that can be interpreted as trend, seasonal, and noise. For their part, neural networks are a family of information-processing techniques capable of approximating highl...

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Bibliographic Details
Main Authors: Javier Linkolk López-Gonzales, Rodrigo Salas, Daira Velandia, Paulo Canas Rodrigues
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Entropy
Subjects:
air quality
singular spectrum analysis
artificial neural networks
hybrid method
Online Access:https://www.mdpi.com/1099-4300/26/12/1062
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