Deep Hybrid Neural Network and Improved Differential Neuroevolution for Chaotic Time Series Prediction

Deep Hybrid Neural Network and Improved Differential Neuroevolution for Chaotic Time Series Prediction

Chaos is widespread in non-linear systems such as finance, energy, and weather. In the chaos system, a variable changing with time generates a chaotic time series, which contains a wealth of information about the non-linear system, and it is helpful for us to analyze and understand chaos systems. Tr...

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Bibliographic Details
Main Authors: Weijian Huang, Yongtao Li, Yuan Huang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Chaotic time series prediction
convolutional neural network
gated recurrent unit
attention mechanism
improved differential evolution
neuroevolution
Online Access:https://ieeexplore.ieee.org/document/9183934/

Internet

https://ieeexplore.ieee.org/document/9183934/

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