2D inverse modeling of residual gravity anomalies from Simple geometric shapes using Modular Feed-forward Neural Network-Reference-Cited by-同舟云学术

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2D inverse modeling of residual gravity anomalies from Simple geometric shapes using Modular Feed-forward Neural Network

Published:2018-03-19 Issue:1 Volume:61 Page:
ISSN:2037-416X
Container-title:Annals of Geophysics
language:
Short-container-title:

Author:

Eshaghzadeh Ata¹,Hajian Alireza²

Affiliation:

1. Graduate student of geophysics, Institute of Geophysics, University of Tehran, Iran (eshagh@alumni.ut.ac.ir) & tel: +98 936 0161579 . Fax: +98 11 52286946

2. Department of Physics, Najafabad Branch, Islamic Azad University, Najafabad, Iran (hajian@iaun.ac.ir) & tel: +98 913 1704501

Publisher

Instituto Nazionale di Geofisica e Vulcanologia, INGV

Subject

Geophysics

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Gravity Data Imaging Using Local Wavenumber-Based Algorithm: Sustainable Development Cases Studies;Natural Resources Research;2022-11-11

2. Modelling of Residual Gravity Data due to a Near Surface Dyke Structure Using Damped SVD and Marquardt Inverse Methods;Geofísica Internacional;2022-09-29

3. Magnetic field analysis using the improved global particle swarm optimization algorithm to estimate the depth and approximate shape of the buried mass;Contributions to Geophysics and Geodesy;2022-07-21

4. Modified Particle Swarm Optimisation (MPSO) for inversion of gravity field due to simple causative mass;B GEOPHYS OCEANOGR;2021

5. 2-D gravity inverse modelling of anticlinal structure using improved particle swarm optimization (IPSO);Arabian Journal of Geosciences;2021-07

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