Noise Robust Physics-Informed Generative Adversarial Networks for Solving Stochastic Differential Equations

Lin Wang; Min Yang; R. Chen; Chuanjun Chen

doi:10.4208/nmtma.oa-2024-0123

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Noise Robust Physics-Informed Generative Adversarial Networks for Solving Stochastic Differential Equations

Lin Wang Min Yang R. Chen Chuanjun Chen

Year: 2025 Journal: Numerical Mathematics Theory Methods and Applications Vol: 18 (2)Pages: 521-543 Publisher: Cambridge University Press

DOI: 10.4208/nmtma.oa-2024-0123

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Keywords:

Adversarial system Stochastic differential equation Generative grammar Noise (video) Statistical physics Computer science Applied mathematics Mathematical optimization Physics Mathematics Artificial intelligence

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Model Reduction and Neural Networks

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Noise Robust Physics-Informed Generative Adversarial Networks for Solving Stochastic Differential Equations

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