A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
Chenxi Wu, Min Zhu, Qinyang Tan, Yadhu Kartha, Lu Lu
Topics & Concepts
Artificial neural networkResidualAdaptive samplingSampling (signal processing)Statistical physicsComputer scienceApplied mathematicsMathematicsPhysicsArtificial intelligenceAlgorithmStatisticsMonte Carlo methodTelecommunicationsDetectorModel Reduction and Neural NetworksNuclear reactor physics and engineeringGaussian Processes and Bayesian Inference