Prediction of time series using different types of forecasting methods enhanced with a meta-learning approach

The selection of a prediction model for a time series with irregular behaviour generally requires the help of a human expert; in many cases it is not possible to have this expert due to time or cost He/She represents. An intelligent machine can select the prediction model by analyzing the performanc...

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Detalles Bibliográficos
Autor Principal: Betancourt Benavides, Hugo Ernesto (author)
Outros autores: Brito González, Carlos Andrés (author)
Formato: bachelorThesis
Idioma:eng
Publicado: 2020
Subjects:
Acceso en liña:http://repositorio.yachaytech.edu.ec/handle/123456789/115
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