Geoelectrical Data Inversion by Clustering Techniques of Fuzzy Logic to Estimate the Subsurface Layer Model
Soft computing based geoelectrical data inversion differs from conventional computing in fixing the uncertainty problems. It is tractable, robust, efficient, and inexpensive. In this paper, fuzzy logic clustering methods are used in the inversion of geoelectrical resistivity data. In order to charac...
Saved in:
Main Authors: | A. Stanley Raj, D. Hudson Oliver, Y. Srinivas |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
|
Series: | International Journal of Geophysics |
Online Access: | http://dx.doi.org/10.1155/2015/134834 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of Subsurface for Grounding Installation System Using Geoelectrical Method: Case Study of Waru Substation, Sidoarjo, East Java
by: Khoirunida Anisatu Ainun, et al.
Published: (2025-01-01) -
Estimating Extreme Geoelectric Field Values for the Australian Region
by: Richard Marshall, et al.
Published: (2020-11-01) -
Estimating the Concrete Compressive Strength Using Hard Clustering and Fuzzy Clustering Based Regression Techniques
by: Naresh Kumar Nagwani, et al.
Published: (2014-01-01) -
Impact of tropical Cyclone Marcus on ocean subsurface and surface layers
by: A.F. Koropitan, et al.
Published: (2022-07-01) -
Magnetotelluric Sampling and Geoelectric Hazard Estimation: Are National‐Scale Surveys Sufficient?
by: Benjamin S. Murphy, et al.
Published: (2021-07-01)