Application of GIS-based neural network with fuzzy self-organization to assessment of rockburst tendency

被引：0
|
作者：
Zhou, Keping [1 ]
Gu, Desheng [1 ]
机构：
[1] Sch. of Resource and Safety Eng., Central South Univ., Changsha 410083, China
来源：
Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering | 2004年 / 23卷 / 18期
关键词：
Fuzzy sets - Geographic information systems - Mathematical models - Neural networks - Numerical analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Rockburst tendency is one of the important indices for the safety evaluation of deep mining engineering. The accuracy of rockburst tendency analysis and assessment is utterly dependent on the reliability of raw mechanics data and the rationality of mathematical models. To upgrade the reliability of data, geographical information system (GIS) is used to support management of multi-resource raw data, perform data processing, refine map layer for the factors needed in analysis, and easily divide the region into units for analysis. Then, via secondary programming based on GIS, the neutral network model with fuzzy self-organization is combined with GIS and conventional methods tightly for rockburst tendency assessment, i.e., GIS takes the role of providing input data for the neutral network with fuzzy self-organization as well as processing its analysis results and outputting them in forms of maps. The feasibility and practical methods to integrate neutral network with fuzzy self-organization and GIS are discussed, in the light of a deep mine in China.
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页码：3093 / 3097
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