Han, Kun
Wang, Tieliang
Liu, Wenhe
Li, Chunsheng
Xian, Xiaochen
Yang, Yingying
Funding for this research was provided by:
Liaoning Province Local Standard Project Approval Plan (2024223、2024224、2024225)
Article History
Received: 12 December 2024
Accepted: 2 July 2025
First Online: 7 July 2025
Change Date: 18 July 2025
Change Type: Update
Change Details: The original online version of this Article was revised: The original version of this Article contained an error in the order of the Tables. Table 6 was published as Table 7 and Table 7 was published as Table 6. Additionally, Table 6 legend now reads: “Comparison of performance evaluation index of different models". Finally, in the Results and discussion section, the citation of Table 5 was incorrect. “Furthermore, the statistical results of the performance evaluation indicators in Table 5 indicate that the SSA-PGNN prediction model proposed in this study has the smallest RMSE and MAPE values, with an R2 value closest to 1, thus outperforming other prediction models.” now reads: “Furthermore, the statistical results of the performance evaluation indicators in Table 6 indicate that the SSA-PGNN prediction model proposed in this study has the smallest RMSE and MAPE values, with an R2 value closest to 1, thus outperforming other prediction models.” The original Article has been corrected.
Declarations
:
: The authors declare no competing interests.