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المصدر: Feng, R, Balling, N, Grana, D, Dramsch, J S & Hansen, T M 2021, ' Bayesian Convolutional Neural Networks for Seismic Facies Classification ', IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 10, pp. 8933-8940 . https://doi.org/10.1109/TGRS.2020.3049012Test
مصطلحات موضوعية: Rocks, uncertainty quantification, Computer science, Bayesian probability, Posterior probability, Initialization, Convolutional neural network, Physics::Geophysics, Bayesian convolutional neural networks, Training, Electrical and Electronic Engineering, Training data, seismic facies classification, Artificial neural network, business.industry, Deep learning, Uncertainty, Monte Carlo methods, Pattern recognition, variational approach, Bayes methods, Backpropagation, Facies, General Earth and Planetary Sciences, Artificial intelligence, business
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c20d7eab341a81b9802188dbe53f954Test
https://doi.org/10.1109/tgrs.2020.3049012Test -
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المؤلفون: Huailai Zhou, Xinming Wu, Fangyu Li, Zengyan Wang
المصدر: IEEE Transactions on Geoscience and Remote Sensing. 59:1733-1744
مصطلحات موضوعية: Seismic facies, business.industry, Computer science, Deep learning, Multispectral image, Feature extraction, 0211 other engineering and technologies, Pattern recognition, 02 engineering and technology, Convolutional neural network, Convolution, General Earth and Planetary Sciences, Spectral analysis, Artificial intelligence, Electrical and Electronic Engineering, business, 021101 geological & geomatics engineering
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::4feae513492d5b6fa9866fd2c1b590a8Test
https://doi.org/10.1109/tgrs.2020.2999365Test