Prediction of blast-induced ground vibration using artificial neural networks

Tunnelling and Underground Space Technology

Volumn 26, Issue 1, 2011, Pages 46-50

  Monjezi, M ^a   Ghafurikalajahi, M ^a   Bahrami, A ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Blasting; Ground vibration

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COEFFICIENT OF DETERMINATION; DATA SETS; EFFECTIVE PARAMETERS; FEEDFORWARD BACKPROPAGATION; GROUND VIBRATION; HOLE DEPTH; INPUT PARAMETER; MODEL MAXIMUM; MONITORING POINTS; OUTPUT PARAMETERS; PEAK PARTICLE VELOCITIES; STATISTICAL MODELS; TRAINING AND TESTING;

BLASTING; DATABASE SYSTEMS; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BLASTING; PREDICTION; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; TUNNELING; VIBRATION;

EID: 78349307228     PISSN: 08867798     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tust.2010.05.002     Document Type: Article

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