By Topic

Prediction of coal mining gas emission based on clustering algorithm and fuzzy neural network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Xiaoyue Liu ; Coll. of Electr. Eng., Hebei United Univ., Tangshan, China ; Yiwen Liu ; Zhenyou Zhang ; Lin Zhang

Coal mining gas emission was constrained by many factors. Considering the eight main factors of gas emission, using ant colony clustering and fuzzy C means clustering applied to data pre-processing, determine the membership function of emission. Fuzzy rules extracted from the data sample, establish a fuzzy neural network prediction system of coal mining gas emission.

Published in:

Strategic Technology (IFOST), 2011 6th International Forum on  (Volume:2 )

Date of Conference:

22-24 Aug. 2011