东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2008, Vol. 29 ›› Issue (5): 726-729.DOI: -

• 论著 • 上一篇    下一篇

台阶爆破模糊神经网络智能设计

王德选;张继春;朱宇;梁力;   

  1. 东北大学资源与土木工程学院;西南交通大学土木工程学院;沈阳大学建筑工程学院;东北大学资源与土木工程学院 辽宁沈阳110004;四川成都610031;辽宁沈阳110044;辽宁沈阳110004
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2008-05-15 发布日期:2013-06-22
  • 通讯作者: Wang, D.-X.
  • 作者简介:-
  • 基金资助:
    辽宁省自然科学基金资助项目(20052019)

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.
  • About author:-
  • Supported by:
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摘要： 为了提高爆破参数设计计算的准确性,在台阶爆破设计中,应用了模糊神经网络模型选取孔网参数的方法.模糊神经网络是人脑的模型,是取模糊推理系统与神经网络两者之所长融合而成的新技术.应用模糊网络模型对台阶爆破进行智能设计,结合了计算机和专家各自的优越性,从以往的爆破效果良好的实例中获取专家经验知识,应用专家知识选取爆破参数,可以取得良好的爆破效果;从而实现了智能设计,增强了设计的可靠性,提高了生产效率,为生产爆破提供了可靠的依据.

关键词: 台阶爆破, 孔网参数, 模糊神经网络, 智能设计, 爆破参数

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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