Semi-supervised impedance inversion by Bayesian neural network based on 2-d CNN pre-training-Reference-Cited by-同舟云学术

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Semi-supervised impedance inversion by Bayesian neural network based on 2-d CNN pre-training

Published:2022-02-24 Issue: Volume: Page:
ISSN:
Container-title:SEG 2021 Workshop: 4th International Workshop on Mathematical Geophysics: Traditional & Learning, Virtual, 17–19 December 2021
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Author:

Ge Muyang¹,Zheng Wangxiangming²,Wang Wenlong¹

Affiliation:

1. Harbin Institute of Technology

2. Tsinghua University

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/iwmg2021-34.1

Reference10 articles.

1. Semi-supervised learning for acoustic impedance inversion

2. Semisupervised sequence modeling for elastic impedance inversion

3. Blundell, C., J. Cornebise, K. Kavukcuoglu, and D. Wierstra, 2015, Weight uncertainty in neural network: International Conference on Machine Learning, PMLR, 1613–1622.

4. Uncertainty estimation in impedance inversion using Bayesian deep learning

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1. ContrasInver: Ultra-Sparse Label Semi-Supervised Regression for Multidimensional Seismic Inversion;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Attention and Hybrid Loss Guided 2-D Network for Seismic Impedance Inversion;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

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