Research on Early Warning System about Strength of Surrounding Rock When Open-pit to Underground Mining Based on Neural Network Method

摘要：

　　Large amount of data to be processed are in the field of engineering information early warning system.In order to improve the work efficiency we must study the effective algorithm to complete the data processing.The conventional algorithm efficiency is not only low, but also data processing often have problems.In this paper the neural network algorithm is embedded into the information early warning system, and we design the information neural network algorithm and mathematical model.In order to verify the accuracy of the model and algorithm, we use the strength of surrounding rock of mining process as an example to verify, using VB and MATLAB as a joint control way of invoking the neural network algorithm.The output results are analyzed, the visualization model of early warning system about the strength of surrounding rock, when from open pit to underground mining.It provides the theory reference for the research on underground mining in mining engineering.

关键词： Informatization Neural network Underground mining Strength of surrounding rock VB software Matlab software Early warning system

作者: CHANG Juan Zhang Jianhua ZHANG Dianji LIU Zhigang

作者单位: School of Resources and Environmental engineering,Wuhan University of Technology,Wuhan,430070,China School of Environmental and Civil Engineering,Wuhan Institute of Technology,Wuhan,430073,China Key Laboratory of Mine Informatization,Henan Polytechnic University,Jiaozuo,454000,China

会议类型: 国际会议

会议名称: 2013 International Conference on Innovation, Management and Technology Research(2013年创新、管理与技术研究国际会议)

会议地点: 太原

会议语种:英文

页码: 246-249

在线出版日期: 2013-11-16（万方平台首次上网日期，不代表论文的发表时间）