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An Expert System Based on BP Neural Networks for Pre-splitting Blasting Design

  • Xiaohong Li
  • Xinfei Wang
  • Yongkang Dong
  • Qiang Ge
  • Li Qian
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)

Abstract

The issue of pre-splitting blasting design is investigated in this paper. According to the principle of expert system and neural networks, Visual C++ 6.0 and SQL Sever 2000 are employed to develop hybrid expert system of pre-splitting blasting design based on BP neural networks. The proposed expert system is a coupling system of engineering database and three-layered BP neural networks, which can be applied into cutting excavation of the expressway. The experiments show that the system can enhance the reliability of in-site pre-splitting blasting design scheme, efficiency and quality of construction.

Keywords

Artificial Neural Network Expert System Engineering Database Loose Coupling Drilling Machine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Xiaohong Li
    • 1
  • Xinfei Wang
    • 1
  • Yongkang Dong
    • 2
  • Qiang Ge
    • 1
  • Li Qian
    • 1
  1. 1.Key Lab of Ministry of Education for the Exploitation of Southwest Resources & the Environmental Disaster Control Engineering, College of Resources & Environmental SciencesChongqing UniversityChongqingChina
  2. 2.North Construction BranchChongqing Expressway Co. LtdChongqingChina

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