Application of fuzzy clustering method in evaluation of spatial characteristics of the object in the ground

Authors

  • A. G. Zlobina Physical-Technical Institute of the Ural Branch of the Russian Academy of Sciences
  • I. V. Zhurbin Physical-Technical Institute of the Ural Branch of the Russian Academy of Sciences

Keywords:

electric profiling, method of fuzzy clustering, boundary of the object, range of depths

Abstract

The technique of evaluating the spatial parameters of objects in the ground on the basis of data of multi-spacing area electric profiling is offered. The application of fuzzy clustering “Fuzzy c-means” allows restoring the borders of objects in the horizontal plane and evaluating the range of their occurrence depths. The results are confirmed by the data of computer simulation and field investigations.

Author Biographies

A. G. Zlobina, Physical-Technical Institute of the Ural Branch of the Russian Academy of Sciences

Post-graduate

I. V. Zhurbin, Physical-Technical Institute of the Ural Branch of the Russian Academy of Sciences

Doctor of Science (History), PhD in Engineering

References

Loke M. H. Tutorial : 2-D and 3-D electrical imaging surveys. − 2012. − 161 p.

Электроразведка : учебное пособие по электроразведочной практике для студентов геофизических специальностей / под ред. проф. В. К. Хмелевского, доц. И. Н. Модина, доц. А. Г. Яковлева. − М. : МГУ им. Ломоносова, геологический факультет, 2005. − 311 c.

Geophysical survey in archaeological field evaluation. – English Heritage, 2008. – 60 p.

Comparison of Fuzzy Clustering Methods and Their Applications to Geophysics Data / David J. Miller et al. // Applied Computational Intelligence and Soft Computing. − 2009. − Vol. 2009. − P. 1–16.

Миниахметов Р. М., Цымблер М. Л. Интеграция алгоритма кластеризации Fuzzy c-means в POSTGRESQL // Вычислительные методы в программировании. − 2012. − Т. 13.− С. 46–52.

Некоторые вопросы метрологического обеспечения инженерно-геофизических изысканий. Электроразведка методами сопротивления и ВП / М. Н. Марченко, В. И. Станкевич, А. Ю. Терещенко и др. − М. : МГУ им. Ломоносова. − 2013. − 28 с.

Published

05.07.2015

How to Cite

Zlobina А. Г., & Zhurbin И. В. (2015). Application of fuzzy clustering method in evaluation of spatial characteristics of the object in the ground. Intellekt. Sist. Proizv., 13(1), 5–8. Retrieved from https://izdat.istu.ru/index.php/ISM/article/view/1911

Issue

Section

Mathematics and mechanics (only archive)