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Neural networks and data-driven surrogate models for simulation of steady-state fracture growth
Neural networks and data-driven surrogate models for simulation of steady-state fracture growth
2019
A.V. Kalyuzhnyuk
Ruslan L. Lapin
A. S. Murachev
A.E. Osokina
A.I. Sevostianov
D. V. Tsvetkov
Keywords:
Artificial neural network
Surrogate model
Steady state
Computer science
Control theory
Hydraulic fracturing
Data-driven
Correction
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