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WebAug 28, 2024 · FCNVMB-Deep-learning-based-seismic-velocity-model-building Star 120 Code Issues Pull requests Deep-learning inversion: A next-generation seismic velocity model building method deep-neural-networks deep-learning velocity-models supervised-machine-learning seismic-inversion Updated Aug 28, 2024 Python SCECcode / WebGitee is a private company that has existed for many years and many Chinese programmers have been using this website. What is "China is building"? ? ? Github has never been … phil wood ofsted
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WebDec 1, 2024 · In this study, we evaluate and compare six data-driven inversion methods: (a) FCNVMB (Yang and Ma, 2024), whose python code can be downloaded directly 2; (b) … We investigate a novel method based on the supervised deep fully convolutional neural network (FCN) for velocity-model building (VMB) directly from raw seismograms. Unlike the conventional inversion method based on physical models, the supervised deep-learning methodsare based on big-data … See more With the goal of estimating velocity models using seismic data as inputs directly, the network needs to project seismic data from the data domain to the model domain. Our method … See more The scripts FCNVMB_train.py and FCNVMB_test.py are implemented for training and testing. If you want to train your own network, please firstly checkout the files named … See more For the training process, we generate the simulated velocity models and their corresponding measurement by solving the acoustic wave equation. Since the storage of the data … See more If you find the paper and the code useful in your research, please cite the paper: If you have any questions about this paper, feel free to contract us: … See more WebAug 11, 2024 · It seems your method expects a PyTorch tensor as it wants to call .cpu() on it while a numpy array is passed, which does not support the .cpu() operation so check and fix your input. tsinghua university postcode