Journal of Northeastern University ›› 2008, Vol. 29 ›› Issue (5): 726-729.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Bench blasting designed by fuzzy neural network

Wang, De-Xuan (1); Zhang, Ji-Chun (2); Zhu, Yu (3); Liang, Li (1)   

  1. (1) School of Resources and Civil Engineering, Northeastern University, Shenyang 110004, China; (2) School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China; (3) School of Architecture Engineering, Shenyang University, Shenyang 110044, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-05-15 Published:2013-06-22
  • Contact: Wang, D.-X.
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Abstract: To improve the veracity of blasting parameter designing and computing, the method applying fuzzy neural network to selecting borehole pattern parameter is introduced in the design of bench blasting. Fuzzy neural network as the model of human brain is a new technology integrating both the superiorities of fuzzy inference system and neural network together. So, the application of fuzzy neural network model to intelligent design of bench blasting combines the advantages of computer with that of expertise to gain the experience/knowledge from what the experts did in actual blasting process in the past. Bench blasting can be well designed and carried out reliably so as to improve the production efficiency by use of the model that provides a reliable reference to productive blasting.

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