Dealing with seasonality by narrowing the training set in time series forecasting with k NN

Author:

Martínez FranciscoORCID,Frías María Pilar,Pérez-Godoy María Dolores,Rivera Antonio Jesús

Funder

FEDER

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference60 articles.

1. An empirical comparison of machine learning models for time series forecasting;Ahmed;Journal of Econometric Reviews,2010

2. An introduction to kernel and nearest-neighbor nonparametric regression;Altman;The American Statistician,1992

3. Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition;Andrawis;International Journal of Forecasting,2011

4. On the problem of forecasting air pollutant concentration with morphological models;Araújo;Neurocomputing,2017

5. A high-order multi-variable fuzzy time series forecasting algorithm based on fuzzy clustering;Askari;Expert Systems with Applications,2015

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