Main Page arrow 51/4/2006 arrow Application of machine learning for prediction a methane concentration in a coal-mine
 
 
Main Menu
Main Page
Current issue
Browse Archives
Download
Editorial Board
Author Guidelines
Subscription
Links
Contact Us
Search
Download
Category2011(56)
Category2010(59)
Category2009(50)
Category2008(40)
Category2007(33)
User


Lost Password?
No account yet? Register
Application of machine learning for prediction a methane concentration in a coal-mine PDF Print E-mail
User Rating: / 0
PoorBest 

Application of machine learning for prediction a methane concentration in a coal-mine

Authors: M. Sikora, B. Sikora

Applications of machine learning methods for creation rule-based data model used in prediction
of a methane concentration in the excavation are described in the paper. Data coming from a methane
concentration monitoring system and methodology of their transformation into a form acceptable by
analytic algorithms that have been used are presented in the second chapter. Next chapter describes the
rules induction algorithm used for prediction. Results of the analysis that has been performed on data
coming from a coal-mine are presented at the end of the paper.
 
Next >