An Enhanced LSTM for Trend Following of Time Series

An Enhanced LSTM for Trend Following of Time Series

Mining and analysis of time series data (TSD) have drawn a great concern, especially in the TSD clustering, classification, and forecast. In the industrial field, e.g., the work condition monitoring and the environmental safety, it is crucial to follow the trend of the corresponding TSD for a safety...

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Bibliographic Details
Main Authors: Yao Hu, Xiaoyan Sun, Xin Nie, Yuzhu Li, Lian Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
LSTM
PSO
safety farecast
series data
trend following
Online Access:https://ieeexplore.ieee.org/document/8630920/

Internet

https://ieeexplore.ieee.org/document/8630920/

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