Quality and Process Optimization of Infrared Combined Hot Air Drying of Yam Slices Based on BP Neural Network and Gray Wolf Algorithm

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The manuscript “Quality and process optimization of infrared combined 2 hot air drying of yam slices based on BP neural network and 3 gray wolf algorithm” is interesting and well written. However, the manuscript requires minor revision (i.e., the following points ) .

 

1.      The manuscript requires English revision to eliminate ambiguity.  

2.      The authors should describe how they measure total energy consumption.  

3.      In the methodology section 2.14 GWO-BP model and multi-objective optimization, the author should describe the model parameters according to the experimental parameters.

4.      Line 333 conFig.d?

5.      Figure 21 translates the axis title in English.

 

6.      In the conclusion section author should draw concluding remarks on the key findings. 

Comments on the Quality of English Language

The manuscript requires English revision to eliminate ambiguity.  

Author Response

Please refer to the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

Comments for author File: Comments.pdf

Comments on the Quality of English Language

 Moderate editing of English language required

Author Response

Please refer to the annex

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Comments and Suggestions for Authors

The authors responded clearly to all the comments raised therefore the manuscript can be accepted.

Author Response

Thanks to the reviewers for their support, we will definitely continue to work hard!