Classification of Stability of Highwall During Highwall Mining: A Statistical Adaptive Learning Approach

作者: K. Ram Chandar , Chiranth Hegde , Mohan Yellishetty , B. Gowtham Kumar

DOI: 10.1007/S10706-014-9836-6

关键词: PillarEngineeringNaive Bayes classifierStability (learning theory)Adaptive learningData mining

摘要: The depleting coal deposits day by required the introduction of novel methods mining like highwall mining. Highwall is a method extraction blocked in highwall. involves considerable challenges area roof control and most importantly stability itself. has gained importance all over world, owing to fact that otherwise would not be extracted forever. This paper aims assess influence varying conditions which can affect during effect gallery length, width pillar number galleries are systematically studied through field investigations where was adopted first time India. Initially, assessment carried out using numerical modelling approach then classified multilinear regression, logistic regression naive Bayes classifier. will provide mechanism predict future cases similar conditions. classification done statistical adaptive learning comparison done.

参考文章(6)
Ron Kohavi, A study of cross-validation and bootstrap for accuracy estimation and model selection international joint conference on artificial intelligence. ,vol. 2, pp. 1137- 1143 ,(1995)
Karra Ram Chandar, B. Gowtham Kumar, Effect of width of gallery of highwall mining on stability of highwall: a numerical modelling approach International Journal of Mining and Mineral Engineering. ,vol. 5, pp. 212- ,(2014) , 10.1504/IJMME.2014.064481
D.P. Adhikary, B. Shen, M.E.Duncan Fama, A study of highwall mining panel stability International Journal of Rock Mechanics and Mining Sciences. ,vol. 39, pp. 643- 659 ,(2002) , 10.1016/S1365-1609(02)00062-X
S. K. Dixit, Manoj Pradhan, Highwall Mining in India Springer, Cham. pp. 175- 187 ,(2014) , 10.1007/978-3-319-02678-7_18
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, An introduction to statistical learning Springer New York. ,(2013) , 10.1007/978-1-4614-7138-7