Paper #1598
Title: Burner Flame Recognition Based on ART2 Neural Network

Recommendation: 
    Probable Reject: Basic flaws in content or presentation or very poorly written

Paper Categorization: 
    Highly practical

Overall Value Added to the Field:
    Not much



Reviewer Familiarity with Subject Matter
Relates to the confidence you have in your review 
    Moderate

Is this paper a candidate for the best paper award? 
    No

Is the paper length appropriate? 
    No


If from reading the paper you know who the author is, how different is this from earlier papers on the same topic by the same author? That is, is it the same as or a slight modification of other papers, with little or no new information? 
    Don't know


Optional: Which of the following session(s) would be the most appropriate for this paper? We use these suggestions in assigning papers to sessions for the conference, but not in determining whether the paper is accepted)
   Intelligent Control and Automation


__________________________________
Comments for the Program Committee
(Reasons must be included for all papers, because they help us determine what to do when reviewers disagree with each other.) 

None
Reviewer don't understand the implication inside (     ).                                                                

________________________
Comments for the Authors

First of all, authors should improve English expressions.
For example, the title of subsection 2.1 "Direct current burners flame image characteristic quantity withdrawing" is not easy to understand.

Equations, especially those in the line of text should be improved to be more readable.

Authors had better learn how punctuation should be.

Anyway roof read carefully before submission including all the above