Mean particle size prediction in rock blast fragmentation using neural networks

Engineering Geology

Volumn 114, Issue 3-4, 2010, Pages 298-311

  Kulatilake, P H S W ^a   Qiong, W ^b   Hudaverdi, T ^a,c   Kuzu, C ^c  

^a University of Arizona   (United States)

^b CHINA UNIVERSITY OF GEOSCIENCES   (China)

^c ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Blasting; Cluster analysis; Discriminant analysis; Fragmentation; Neural networks; Rock mass

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; BLAST DESIGN; BLAST FRAGMENTATION; BLOCK SIZES; DATA BASE; DEVELOPED MODEL; FRAGMENTATION PREDICTION; GROUP MEMBERSHIPS; HIDDEN LAYERS; HIERARCHICAL CLUSTER ANALYSIS; IN-SITU; INDEPENDENT PARAMETERS; INTACT ROCKS; LEARNING SPEED; LEVENBERG-MARQUARDT ALGORITHM; MEAN PARTICLE SIZE; MODULUS OF ELASTICITY; MULTI VARIATE ANALYSIS; MULTIVARIATE REGRESSION ANALYSIS; MULTIVARIATE REGRESSION MODELS; NEURAL NETWORK MODEL; OPTIMUM VALUE; PRACTICAL USE; PREDICTION CAPABILITY; ROCK MASS; TRAINED NEURAL NETWORKS;

BLASTING; CLUSTER ANALYSIS; DATA FLOW ANALYSIS; DECISION MAKING; DISCRIMINANT ANALYSIS; EXPLOSIVES; FORECASTING; HIERARCHICAL SYSTEMS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; MULTIVARIANT ANALYSIS; PARTICLE SIZE; PARTICLE SIZE ANALYSIS; REGRESSION ANALYSIS; ROCK MECHANICS; ROCKS; STREAM FLOW;

NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BLASTING; CLUSTER ANALYSIS; DISCRIMINANT ANALYSIS; ELASTIC MODULUS; FRAGMENTATION; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; PARTICLE SIZE; ROCK MASS CLASSIFICATION; ROCK MECHANICS; STIFFNESS;

EID: 77955176007     PISSN: 00137952     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enggeo.2010.05.008     Document Type: Article

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