Predicting pillar stability for underground mine using Fisher discriminant analysis and SVM methods

Transactions of Nonferrous Metals Society of China (English Edition)

Volumn 21, Issue 12, 2011, Pages 2734-2743

  Zhou, Jian ^a   Li, Xi Bing ^a   Shi, Xiu Zhi ^a   Wei, Wei ^a   Wu, Bang Biao ^a,b  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

Fisher discriminant analysis (FDA); pillar stability; prediction; support vector machines (SVMs); underground mine

Indexed keywords

CLASSIFICATION RATES; CROSS-VALIDATION METHODS; FISHER DISCRIMINANT ANALYSIS; MEASURED DATA; MEASURED FIELD; MODEL PERFORMANCE; PERFORMANCE INDICES; PILLAR STABILITY; SOFT COMPUTING METHODS; STATISTICAL LEARNING THEORY; SUPPORT VECTOR; TRAINING AND TESTING; UNDERGROUND MINE; UNIAXIAL COMPRESSIVE STRENGTH;

COAL MINES; COMPRESSIVE STRENGTH; DISCRIMINANT ANALYSIS; FISHER INFORMATION MATRIX; FORECASTING; MATHEMATICAL MODELS; MECHANICAL PROPERTIES; SOFT COMPUTING; STABILITY; STRESSES; SUPPORT VECTOR MACHINES;

ROOM AND PILLAR MINING;

EID: 84862908302     PISSN: 10036326     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1003-6326(11)61117-5     Document Type: Article

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