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Physics and equality constrained artificial neural networks: Application to forward and inverse problems with multi-fidelity data fusion
Shamsulhaq Basir, Inanc Senocak
University of Pittsburgh
来源Journal of Computational Physics
年份2022
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物理Model Reduction and Neural Networks
Nuclear Engineering Thermal-Hydraulics · Fluid Dynamics and Turbulent Flows
参考文献 101
ADADELTA: An Adaptive Learning Rate Method
被引 5,462Matthew D. Zeiler · arXiv (Cornell University) · 2012
Flow and Contaminant Transport Model for Unsaturated Soil
被引 5Akbar A. Javadi, Mohammed M. AL-Najjar, Brian Evans · 2007
Multiplier methods: A survey
被引 347Dimitri P. Bertsekas · Automatica · 1976
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Residual-based attention in physics-informed neural networks
被引 193Sokratis Anagnostopoulos, Juan Diego Toscano, Nikolaos Stergiopulos · Computer Methods in Applied Mechanics and Engineering · 2024
Enhanced physics-informed neural networks with Augmented Lagrangian relaxation method (AL-PINNs)
被引 75Hwijae Son, Sung Woong Cho, Hyung Ju Hwang · Neurocomputing · 2023
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