A Gaussian mixture distribution-based adaptive sampling method for physics-informed neural networks
Yuling Jiao, Di Li, Xiliang Lu, Jerry Zhijian Yang, Cheng Yuan
Topics & Concepts
Computer scienceGaussianArtificial neural networkSampling (signal processing)Artificial intelligenceDistribution (mathematics)Importance samplingStatistical physicsDeep neural networksGaussian processMachine learningStatisticsMonte Carlo methodPhysicsComputer visionMathematicsQuantum mechanicsFilter (signal processing)Mathematical analysisGaussian Processes and Bayesian InferenceModel Reduction and Neural NetworksNeural Networks and Applications