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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| Formato: | Artículo |
| Lenguaje: | inglés |
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2024
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| _version_ | 1881508987961081856 |
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| author | López Gonzales, Javier Linkolk Salas, Rodrigo Velandia, Daira Canas Rodrigues, Paulo |
| author_browse | Canas Rodrigues, Paulo López Gonzales, Javier Linkolk Salas, Rodrigo Velandia, Daira |
| author_facet | López Gonzales, Javier Linkolk Salas, Rodrigo Velandia, Daira Canas Rodrigues, Paulo |
| author_sort | López Gonzales, Javier Linkolk |
| collection | Producción científica |
| description | 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 highly nonlinear functions. This study proposes to improve the precision in the prediction of air quality. For this purpose, a hybrid adaptation is considered. It is based on an integration of the singular spectrum analysis and the recurrent neural network long short-term memory; the SSA is applied to the original time series to split signal and noise, which are then predicted separately and added together to obtain the final forecasts. This hybrid method provided better performance when compared with other methods. |
| format | Article |
| id | oai:cris.upeu.edu.pe:20.500.15037/408 |
| institution | UPeU |
| language | English |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
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| spelling | oai:cris.upeu.edu.pe:20.500.15037/4082026-10-30T16:14:36ZAir Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural NetworksLópez Gonzales, Javier LinkolkSalas, RodrigoVelandia, DairaCanas Rodrigues, PauloArtificial neural networksAir qualityHybrid MethodSingular Spectrum AnalysisSingular 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 highly nonlinear functions. This study proposes to improve the precision in the prediction of air quality. For this purpose, a hybrid adaptation is considered. It is based on an integration of the singular spectrum analysis and the recurrent neural network long short-term memory; the SSA is applied to the original time series to split signal and noise, which are then predicted separately and added together to obtain the final forecasts. This hybrid method provided better performance when compared with other methods.Articlehttps://pubmed.ncbi.nlm.nih.gov/39766690https://www.mdpi.com/1099-4300/26/12/1062/pdf?version=1733485143https://doi.org/10.3390/e26121062PMC1167559710.3390/e26121062https://hdl.handle.net/20.500.15037/40839766690W4405108965enEntropy1099-43002024-12-062026-06-13T08:12:55Z2026-06-13T08:12:55Z |
| spellingShingle | Artificial neural networks Air quality Hybrid Method Singular Spectrum Analysis López Gonzales, Javier Linkolk Salas, Rodrigo Velandia, Daira Canas Rodrigues, Paulo Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks |
| title | Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks |
| title_full | Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks |
| title_fullStr | Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks |
| title_full_unstemmed | Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks |
| title_short | Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks |
| title_sort | air quality prediction based on singular spectrum analysis and artificial neural networks |
| topic | Artificial neural networks Air quality Hybrid Method Singular Spectrum Analysis |
| topic_facet | Artificial neural networks Air quality Hybrid Method Singular Spectrum Analysis |
| url | https://pubmed.ncbi.nlm.nih.gov/39766690 https://www.mdpi.com/1099-4300/26/12/1062/pdf?version=1733485143 https://doi.org/10.3390/e26121062 https://hdl.handle.net/20.500.15037/408 |
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