Nonlinear inversion for magnetotelluric sounding based on deep belief network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Metals and Alloys,General Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11771-019-4188-2.pdf
Reference26 articles.
1. CONSTABLE S CPARKER R LCONSTABLE C G. Occam's inversion: A practical algorithm for generating smooth models from EM sounding data [J]. Geophysics198752(3): 289–300.
2. SMITH J TBOOKER J R. Rapid inversion of two and three dimensional magnetotelluric data [J]. Journal of Geophysical Research199196: 3905–3922.
3. RODI WMACKIE R L. Nonlinear conjugate gradients algorithm for 2-D magnetotelluric inversion [J]. Geophysics200166(1): 174–187.
4. MONTAHAEI MOSKOOI B. Magnetotelluric inversion for azimuthally anisotropic resistivities employing artificial neural networks [J]. Acta Geophysica201462(1): 12–43.
5. LIU BLI S CNIE L CWANG JL XZHANG Q S. 3D resistivity inversion using an improved genetic algorithm based on control method of mutation direction [J]. Journal of Applied Geophysics201287: 1–8. DOI: https://doi.org/10.1016/j.jappgeo.2012.08.002 .
Cited by 11 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. Deep learning-based 1-D magnetotelluric inversion: performance comparison of architectures;Earth Science Informatics;2024-02-03
2. Physics-Informed Deep Learning Inversion with Application to Noisy Magnetotelluric Measurements;Remote Sensing;2023-12-22
3. One-dimensional magnetotelluric parallel inversion using a ResNet1D-8 residual neural network;Computers & Geosciences;2023-11
4. Smooth Deep Learning Magnetotelluric Inversion Based on Physics-Informed Swin Transformer and Multiwindow Savitzky–Golay Filter;IEEE Transactions on Geoscience and Remote Sensing;2023
5. Iterative Feature Selection with Redundancy Accounting for the Neural Network Solution of Inverse Problems of Magnetotelluric Sounding;Springer Proceedings in Earth and Environmental Sciences;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3