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

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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:

Figure 5 

When the evaporation temperature is 40°C, the heat transfer coefficient of R245fa changes with dryness and mass flux rate.

Figure 6 

When the evaporation temperature is 50°C, the heat transfer coefficient of R245fa changes with quality of vapor-liquid mixture and mass flux rate.

Figure 7 

When the evaporation temperature is 60°C, the heat transfer coefficient of R245fa changes with dry and mass flux rate.