Analysis and Application of Grey Wolf Optimizer-Long Short-Term Memory

Analysis and Application of Grey Wolf Optimizer-Long Short-Term Memory

Long short-term memory (LSTM) is widely applied in both academic and industrial fields. However, there is no reliable criterion on selecting hyperparameters of LSTM. Currently, although some widely used classic methods such as random search and grid search have obtained success to some extent, the p...

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Bibliographic Details
Main Authors: Jinxin Pan, Bo Jing, Xiaoxuan Jiao, Shenglong Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Evolutionary computation
LSTM
Markov processes
prediction algorithms
airborne fuel pump
Online Access:https://ieeexplore.ieee.org/document/9131707/

Internet

https://ieeexplore.ieee.org/document/9131707/

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