Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer

Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer

In this research, we propose an enhanced Grey Wolf Optimizer (GWO) for designing the evolving Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) networks for time series analysis. To overcome the probability of stagnation at local optima and a slow convergence rate of the classical GWO a...

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Bibliographic Details
Main Authors: Hailun Xie, Li Zhang, Chee Peng Lim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Evolutionary computation
Grey Wolf optimizer
time series prediction
deep neural network
Online Access:https://ieeexplore.ieee.org/document/9186058/

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