Performance Analysis of Multi-Task Deep Learning Models for Flux Regression in Discrete Fracture Networks
In this work, we investigate the sensitivity of a family of multi-task Deep Neural Networks (DNN) trained to predict fluxes through given Discrete Fracture Networks (DFNs), stochastically varying the fracture transmissivities. In particular, detailed performance and reliability analyses of more than...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
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Series: | Geosciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3263/11/3/131 |