Magnetic inverse modelling of a dike using the artificial neural network approach-Reference-Cited by-同舟云学术

Magnetic inverse modelling of a dike using the artificial neural network approach

Published:2011-03-01 Issue:4 Volume:9 Page:339-347
ISSN:1569-4445
Container-title:Near Surface Geophysics
language:en
Short-container-title:Near Surface Geophysics

Author:

Alimoradi Andisheh¹,Angorani Saeed²,Ebrahimzadeh Mehrnoosh²,Shariat Panahi Masoud³

Affiliation:

1. Department of Mining; Petroleum and Geophysics Engineering; Shahrood University of Technology; University Boulevard; Shahrood Semnan 36199-95161 Iran

2. Department of Mining Engineering; Faculty of Engineering; University of Tehran; Campus #2 Tehran PO Box 14395-515 Iran

3. Department of Mechanical Engineering; Faculty of Engineering; University of Tehran; Campus #2 Tehran PO Box 14395-515 Iran

Publisher

Wiley

Subject

Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.3997/1873-0604.2011008/fullpdf

Reference13 articles.

1. An iterative least-squares approach to depth determination from residual magnetic anomalies due to thin dikes;Abdelrahman;Journal of Applied Geophysics,1996

2. Prediction of geological hazardous zones in front of a tunnel face using TSP-203 and artificial neural networks;Alimoradi;Tunnelling and Underground Space Technology,2008

3. Continuous spectrum of the total magnetic field anomaly due to a rectangular prismatic body;Bhattacharyya;Geophysics,1966

4. Interpretation of magnetic anomalies from dipping dike model using inverse solution, power spectrum and Hilbert transform methods;Dondurur;Journal of the Balkan Geophysical Society,2003

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