The application of ABP method in high-density resistivity method inversion

被引:10
|
作者
Zhang Ling-Yun [1 ]
Liu Hong-Fu [1 ]
机构
[1] Taiyuan Univ Technol, Coll Min Engn, Taiyuan 030024, Peoples R China
来源
关键词
Ant colony optimization; BP neural network; Two-dimensional inversion;
D O I
10.3969/j.issn.0001-5733.2011.01.024
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
As an important,branch of geophysical inversion, non-linear inversion method has played a unique role in geophysical inversion. In recent years, more researchers lay emphasis on non-linear joint inversion, but has not made any substantial progresses. This paper tried to achieve high density resistivity two-dimensional non-linear inversion by using the joint calculus of BP neural network optimization method and ant colony algorithm. A comparison of the results revealed that the ABP method is much better than BP neural network inversion method, the former can overcome the deficiencies of BP neural network inversion method, reduce the number of iterations, save computing time and finally obtain a better inversion result.
引用
收藏
页码:227 / 233
页数:7
相关论文
共 27 条
  • [1] RESOLVING POWER OF GROSS EARTH DATA
    BACKUS, G
    GILBERT, F
    [J]. GEOPHYSICAL JOURNAL OF THE ROYAL ASTRONOMICAL SOCIETY, 1968, 16 (02): : 169 - &
  • [2] NUMERICAL APPLICATIONS OF A FORMALISM FOR GEOPHYSICAL INVERSE PROBLEMS
    BACKUS, GE
    GILBERT, JF
    [J]. GEOPHYSICAL JOURNAL OF THE ROYAL ASTRONOMICAL SOCIETY, 1967, 13 (1-3): : 247 - &
  • [3] COLORNI A, 1992, PARALLEL PROBLEM SOLVING FROM NATURE, 2, P509
  • [4] Colorni A., 1991, Distributed optimization by ant colonies, V142, P134
  • [5] Daoxiong Gong, 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788), P2068
  • [6] [丁建立 Ding Jianli], 2003, [计算机研究与发展, Journal of Computer Research and Development], V40, P1351
  • [7] [丁柱 Ding Zhu], 2002, [地球物理学进展, Progress in Geophysiscs], V17, P331
  • [8] HE JS, 1997, CHINESE J GEOPHYS S, V40, P308
  • [9] Hong B. R., 2004, J HARBIN I TECHNOLOG, V11, P267
  • [10] [黄科 HUANG Ke], 2006, [物探化探计算技术, Computing Techniques for Geophysical and Geochemical Exploration], V28, P18