Time Series Prediction Using Sparse Autoencoder and High-Order Fuzzy Cognitive Maps

The problem of time series prediction based on fuzzy cognitive maps (FCMs) is unresolved. Although many methods have been proposed to cope with this issue, the performance of these methods is far from satisfactory. Traditional FCM-based predictors have three limitations. First, current feature extra...

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Vydané v:	IEEE transactions on fuzzy systems Ročník 28; číslo 12; s. 3110 - 3121
Hlavní autori:	Wu, Kai, Liu, Jing, Liu, Penghui, Yang, Shanchao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.12.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Cognitive maps Cognitive models Computational modeling Feature extraction Fuzzy cognitive maps Fuzzy cognitive maps (FCMs) fuzzy time series Machine learning Numerical models Prediction algorithms Prediction models Predictive models sparse autoencoder (SAE) Time series Time series analysis time series prediction
ISSN:	1063-6706, 1941-0034
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