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.

引用

页码：3093 / 3097

共 50 条

[21] Recognition of Incomplete and Overlapped Weed Seeds Based on Self-organization Delayed Neural Network
Shi, Changjiang
Wang, Qian
Zhao, Wencang
2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2016, : 542 - 547
[22] Boundary extraction based on Stack Filter Hopfield NeuralNetwork and Self-organization Neural Network
Gu, FQ
Zheng, HZ
Sun, YS
2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 1084 - 1087
[23] Optimization and implementation of self-organization fuzzy neutral network control algorithm
Xiao-Hui, Zeng, 1600, Bentham Science Publishers B.V., P.O. Box 294, Bussum, 1400 AG, Netherlands (06):
[24] Vehicle routing based on self-organization with and without fuzzy inference
Gomes, LDT
Von Zuben, FJ
PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2, 2002, : 1310 - 1315
[25] Heuristic self-organization algorithms for software reliability assessment and their application
Dohi, T
Osaki, S
Trivedi, KS
11TH INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING, PROCEEDINGS, 2000, : 40 - 51
[26] Emergence of multimodal action representations from neural network self-organization
Parisi, German I.
Tani, Jun
Weber, Cornelius
Wermter, Stefan
COGNITIVE SYSTEMS RESEARCH, 2017, 43 : 208 - 221
[27] Lifelong learning of human actions with deep neural network self-organization
Parisi, German I.
Tani, Jun
Weber, Cornelius
Wermter, Stefan
NEURAL NETWORKS, 2017, 96 : 137 - 149
[28] SELF-ORGANIZATION OF THE VELOCITY SELECTIVITY OF A DIRECTIONALLY SELECTIVE NEURAL-NETWORK
MIURA, K
KURATA, K
NAGANO, T
BIOLOGICAL CYBERNETICS, 1995, 73 (05) : 401 - 407
[29] Stereo disparity perception for monochromatic surface by self-organization neural network
Tang, YB
Hua, XJ
Yokomichi, M
Kitazoe, T
Kono, M
ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE, 2002, : 1623 - 1628
[30] Motor primitive and sequence self-organization in a hierarchical recurrent neural network
Paine, RW
Tani, J
NEURAL NETWORKS, 2004, 17 (8-9) : 1291 - 1309

← 1 2 3 4 5 →