Expression of Concern: Grey wolf optimization–based deep echo state network for time series prediction

An expression of concern onChen X and Zhang H (2022) Grey Wolf Optimization–Based Deep Echo State Network for Time Series Prediction. Front. Energy Res. 10:858518. doi: 10.3389/fenrg.2022.858518With this notice, Frontiers states its awareness of concerns regarding the content of the article “Grey Wolf Optimization–Based Deep Echo State Network for Time Series Prediction” published on 11 March 2022. Our Research Integrity team will conduct an investigation in full accordance with our procedures. The situation will be updated as soon as the investigation is complete.

Publication Details

Journal
Frontiers in Energy Research
Published
2024-12-23
DOI
https://doi.org/10.3389/fenrg.2024.1548381
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Expression of Concern: Grey wolf optimization–based deep echo state network for time series prediction

Frontiers in Energy Research
Neural Networks and Reservoir Computing
article

Expression of Concern: Grey wolf optimization–based deep echo state network for time series prediction

article en

Abstract

An expression of concern onChen X and Zhang H (2022) Grey Wolf Optimization–Based Deep Echo State Network for Time Series Prediction. Front. Energy Res. 10:858518. doi: 10.3389/fenrg.2022.858518With this notice, Frontiers states its awareness of concerns regarding the content of the article “Grey Wolf Optimization–Based Deep Echo State Network for Time Series Prediction” published on 11 March 2022. Our Research Integrity team will conduct an investigation in full accordance with our procedures. The situation will be updated as soon as the investigation is complete.

Frontiers in Energy ResearchVol. 12
Climate action
Openalex Percentile: Top 78%
Neural Networks and Reservoir Computing
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Expression of Concern: Grey wolf optimization–based deep echo state network for time series prediction · Frontiers in Energy Research (2024) | TGRS Research Map | TGRS