Time-series machine-learning error models for approximate solutions to parameterized dynamical systems
Eric Parish, Kevin Carlberg
Topics & Concepts
Recurrent neural networkComputer scienceParameterized complexityDynamical systems theoryBenchmark (surveying)Artificial neural networkSeries (stratigraphy)Autoregressive modelA priori and a posterioriMachine learningTime seriesAlgorithmArtificial intelligenceNonlinear autoregressive exogenous modelRegressionMathematicsStatisticsGeodesyQuantum mechanicsPhysicsEpistemologyPhilosophyPaleontologyGeographyBiologyModel Reduction and Neural NetworksProbabilistic and Robust Engineering DesignControl Systems and Identification