Improvement of LSTM-Based Forecasting with NARX Model through Use of an Evolutionary Algorithm

Improvement of LSTM-Based Forecasting with NARX Model through Use of an Evolutionary Algorithm

The reported work aims to improve the performance of LSTM-based (Long Short-Term Memory) forecasting algorithms in cases of NARX (Nonlinear Autoregressive with eXogenous input) models by using evolutionary search. The proposed approach, ES-LSTM, combines a two-membered ES local search procedure (2ME...

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Bibliographic Details
Main Authors: Cătălina Lucia Cocianu, Cristian Răzvan Uscatu, Mihai Avramescu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Electronics
Subjects:
evolutionary strategies
LSTM neural networks
Fourier filtering
time series
data standardization
Online Access:https://www.mdpi.com/2079-9292/11/18/2935

Internet

https://www.mdpi.com/2079-9292/11/18/2935

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