Complexity

Complexity / 2019 / Article

Corrigendum | Open Access

Volume 2019 |Article ID 5109152 | 2 pages | https://doi.org/10.1155/2019/5109152

Corrigendum to “Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network”

Received03 Dec 2018
Accepted11 Dec 2018
Published03 Feb 2019

In the article titled “Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network,” [1], the authors detected some errors in the content of the article where the last sentence in Section , “Although the prediction error of the RBF network in the last section is increased, the GRNN network model has better generalization after training. The GRNN network forecast curve is shown in Figure ” should be updated to “So, the GRNN network model has good generalization after training. The GRNN network forecast curve is shown in Figure .

In addition, the abscissa “h” should be changed to “x” in Figures , , and ; this error happened during the production process. Moreover, the “RBF” should be changed to “GRNN” in the legend of Figures and . Finally, in the Conclusion (3), the “R407C” should be changed to “R245fa”. The corrected Figures , , and are shown below:

References

  1. Meiling Liang, Xiaohui Zhang, Rong Zhao, Xulin Wen, Shan Qing, and Aimin Zhang, “Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network,” Complexity, vol. 2018, Article ID 9318048, 9 pages, 2018. View at: Publisher Site | Google Scholar

Copyright © 2019 Meiling Liang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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