Title :
The application of pattern recognition for the prediction of the coal mining water irruption
Author :
Chin-sheng, Chen ; Chun-feng, Cheng ; Yuan-long, Cai
Author_Institution :
Image Process. Center, Xi´´an Jio-Tong Univ., Shaanxi, China
Abstract :
Application of pattern recognition is discussed in the prediction of the water irruption from the floor of the underground coal mine. By exhaustive analysis of the hydrogeological data acquired from the coal mine, three data features are selected as the most useful out of six proposed features. Over 90% of prediction accuracy is achieved with Bayes classifier. For the reliability of the decision function, an ergodic stability test of the function is developed that shows that the reliability of the decision function is over 89%. The prediction shows that the pattern recognition method is applicable
Keywords :
Bayes methods; coal; computerised pattern recognition; mining; Bayes classifier; decision function; ergodic stability test; hydrogeological data; pattern recognition; underground coal mine; water irruption prediction; Accuracy; Data mining; Head; Image processing; Kinetic theory; Pattern classification; Pattern recognition; Railway safety; Stability; Testing;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28337
