Predicting Ceramic Wool Diameter by Motor Frequency Using Improved BP Neural Network
Round 1
Reviewer 1 Report
in this study, the approximate simulation of the fiber formation was discussed and a fast precision measuring method to predict the ceramic wool diameter was presented using improved Back-Propagation (BP) neural network. Manuscript was written well and the results are discussed deeply so that it can be published without further revision.
Author Response
Dear Professor:
Thank you very much for your kind letter on December 6. We revised the manuscript in accordance with your comments and checked and corrected the grammatical errors and further improved the language fluency of the manuscript.
Thank you for the kind advice.
Sincerely yours.
Reviewer 2 Report
The paper "Predicting of ceramic wool diameter by motor frequency using improved BP neural network” has good elements and a lot of work has been invested into the research. The manuscript was written well, and it deserves to be published after minor corrections:
P1. The wheel rotation speed range
P3. The sentence “It was not mature to describe the process by numerical simulation as the complex fluid resulted from many influencing factors while studying the practical problems of centrifugal wool formation” to to be rewritten for a better understanding.
Author Response
Dear Professor:
Thank you very much for your kind letter. We revised the manuscript in accordance with your comments and checked and corrected the grammatical errors and further improved the language fluency of the manuscript. And some of your questions were answered below.
(1) The wheel rotation speed range.
Answer 1: The corresponding relationship between the frequency and rotation speed of the main motor is 1Hz for 30rad/min, the wheel rotation speed range is between 6627rad/min and 11625rad/min. We revised the manuscript and added this information.
(2) The sentence “It was not mature to describe the process by numerical simulation as the complex fluid resulted from many influencing factors while studying the practical problems of centrifugal wool formation” to be rewritten for a better understanding.
Answer 2: This sentence was revised to "However, it was not mature to describe the process by numerical simulation while studying the practical problems of centrifugal wool formation. As the complex fluid resulted from many influencing factors, the simulation results differ greatly from the actual results" in the manuscript.
Thank you for the kind advice.
Sincerely yours.
Reviewer 3 Report
In this article, the authors discuss the approximate simulation of the ceramic wool fiber formation and present a fast precision measuring method to predict the ceramic wool diameter using improved Back-Propagation (BP) neural network. Particle Swarm Optimizer (PSO) was employed to optimize the neural network structure for its presentation of the relationship between the motor frequency of the spinning wheel and the ceramic wool diameter.
A nice piece of research work. The introduction provide sufficient background and include all relevant references and the conclusions supported by the results. The methods are adequately described and the results are clearly presented.
I suggest the publication of this paper in present form
Author Response
Dear Professor:
Thank you very much for your kind letter. We further improved the language fluency of the manuscript.
Thank you for the kind advice.
Sincerely yours.
Reviewer 4 Report
The authors suggested a new “Predicting of ceramic wool diameter by motor frequency using improved BP neural network”
The introduction does not make the reader sufficiently aware of the problem.
English needs improvement to make the manuscript more readable.
Congratulations on the work.
Author Response
Dear Professor:
Thank you very much for your kind letter. We revised the manuscript in accordance with your comments and checked and corrected the grammatical errors and further improved the language fluency of the manuscript.
Thank you for the kind advice.
Sincerely yours.
