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...

• Autore principale: Betancourt Benavides, Hugo Ernesto (author)
• Altri autori: Brito González, Carlos Andrés (author)
• Natura: bachelorThesis
• Lingua: eng
• Pubblicazione: 2020
• Soggetti: Meta-learning; Time series prediction; Genetic algorithms; Meta-aprendizaje; Predicción de series de tiempo; Algoritmos genéticos
• Accesso online: http://repositorio.yachaytech.edu.ec/handle/123456789/115