2Bae H J, Baek J J, Lee C S, et al. Optimizing blastingparameters to achieve high yields [ J ]. MaterialsPerformance ,200H ,47( 1) :48 -52.
3Song W D, Wang D X,Tang Y N. Study on sublevel opensloping with subsequent backfilling mining method stopeparameters optimization [ J]. Advanced Materials Research,2011,250/251/252/253(1) :1567 -1571.
4Wu Z S,Chen G Q,Zen K K,er al. Effect of blasting on theadjacent underground tunnels [ J]. Applied Mechanics andMaterials,2011 ,90/91/92/93(1) : 1870 - 1878.
5Zhang C L, Li X P. Study on optimization of blastingparameters and its effect on anchoring rock beam of anunderground workshop [ J ]. Applied Mechanics andMaterials,2011,90/91/92/93(1) :2045 -2052.
6Pan D,Zhou K P,Li Na, al. The optimization research onlarge-diameter longhole blasting parameters of underground minebased on artificial neural network [ C ]//The SecondInternational Conference on Intelligent Computation Technologyand Automation(ICICTA). Changsha,2009:419 - 422.
7Zhang Y, Du Q D, Yu S D. RBF neural network based onfuzzy evolution Kalman filtering and application in minesafety monitoring [ C ] //Proceedings - 2009 the 9thInternational Conference on Hybrid Intelligent Systems.Shenyang,2009:467 -470.
8Qu C, Jiang K,Xue M,ef al. The mechanical parameters of arock slope displacement back analysis based on theorthogonal test designf J]. Applied Mechanics and Materials,2013 ,256/257/258/259( 1) :207 -210.
9Du D J, Li K, Fei M R. A fast multi-output RBF neuralnetwork construction method[ J]. Neurocomputing,2010,73(10/11/12) :2196 -2202.
10Victor B,Miguel M, Manuel K. Gaussian RBF-FD weightsand its corresponding local truncation errors[ J]. EngineeringAnalysis with Boundary Elements, 2012,36 ( 9 ) : 1361 -1369.
