PERFORMANCE OF FUZZY LOGIC IN DETERMINATION OF UNSTABLE POINTS IN LEVELING NETWORKS.

被引:0
作者
Celik, Cahit Tagi [1 ]
机构
[1] Nigde Univ, Fac Engn & Architecture, Dept Geodesy & Photogrammetry, Nigde, Turkey
来源
10TH INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC GEOCONFERENCE: SGEM 2010, VOL I | 2010年
关键词
Deformations; Congruency Test; Fuzzy Logic; reference network; Leveling Network;
D O I
暂无
中图分类号
TE [石油、天然气工业];
学科分类号
0820 ;
摘要
A man-made structure or natural phenomena like crustal movement, vertical land movements, subsidence determination, etc. is subject to deformations due to forces on them. Deformations of a structure require rigorous analysis to reflect significant movements. In general, deformation analysis relies on the reference network that is set outside the deforming area so that a comparison could be possible. However, a geodetic reference network is itself subject to movement. Therefore, the stability of the reference network needs to be conformed by some suitable methods. There exist a number of methods for performing the determination of stable and unstable points in the reference network. In this study, based on the fuzzy logic algorithm, a new method of detecting stable and unstable points in a reference network designed for detection of vertical movements is recommended. To test the proposed method a simulation was carried out and the results were presented.
引用
收藏
页码:917 / 926
页数:10
相关论文
共 9 条
[1]  
Caspary WF, 1987, SCH SURVEYING MONOGR, V11, P593
[2]  
Chrzanowski A., 1986, 18 FIG INT C TOR, V19
[3]  
Cross PA., 1994, 6 U E LOND
[4]  
HEKIMOGLU S, 1999, J SURV ENG, V125
[5]   ANFIS - ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM [J].
JANG, JSR .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1993, 23 (03) :665-685
[6]  
KENNIE T. J. M., 1993, Engineering Surveying Technology
[7]   HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems [J].
Kim, J ;
Kasabov, N .
NEURAL NETWORKS, 1999, 12 (09) :1301-1319
[8]  
*MATHW INC, 2002, FUZZ LOG TOOLB US GU
[9]   FUZZY SETS [J].
ZADEH, LA .
INFORMATION AND CONTROL, 1965, 8 (03) :338-&