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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 -
2دورية أكاديمية
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: Bayes methods, Bayesian convolutional neural networks, Deep learning, Monte Carlo methods, Rocks, seismic facies classification, Training, Training data, Uncertainty, uncertainty quantification, variational approach.
الإتاحة: https://doi.org/10.1109/TGRS.2020.3049012Test
https://pure.au.dk/portal/da/publications/bayesian-convolutional-neural-networks-forTest-seismic-facies-classification(c305f424-8a76-4a8b-b95b-f7d7363a65a6).html
http://www.scopus.com/inward/record.url?scp=85100493547&partnerID=8YFLogxKTest