Exploring an Ensemble of Methods that Combines Fuzzy Cognitive Maps and Neural Networks in Solving the Time Series Prediction Problem of Gas Consumption in Greece

Exploring an Ensemble of Methods that Combines Fuzzy Cognitive Maps and Neural Networks in Solving the Time Series Prediction Problem of Gas Consumption in Greece

This paper introduced a new ensemble learning approach, based on evolutionary fuzzy cognitive maps (FCMs), artificial neural networks (ANNs), and their hybrid structure (FCM-ANN), for time series prediction. The main aim of time series forecasting is to obtain reasonably accurate forecasts of future...

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Bibliographic Details
Main Authors: Konstantinos I. Papageorgiou, Katarzyna Poczeta, Elpiniki Papageorgiou, Vassilis C. Gerogiannis, George Stamoulis
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Algorithms
Subjects:
fuzzy cognitive maps
neural networks
time series forecasting
ensemble learning
prediction
machine learning
natural gas
Online Access:https://www.mdpi.com/1999-4893/12/11/235

Internet

https://www.mdpi.com/1999-4893/12/11/235

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