Neural network closures for nonlinear model order reduction - San, Omer; Maulik, Romit (Advances in computational mathematics, 2018)
Keywords: Basis functions; Bayesian analysis; Burgers equation; Closures; Computational fluid dynamics; Computational mathematics; Computational Mathematics and Numerical Analysis; Computational Science and Engineering; Computer architecture; Dependence; Forecasting; Galerkin method; Machine learning; Mathematical and Computational Biology; Mathematical Modeling and Industrial Mathematics; Mathematical models; Mathematics; Mathematics and Statistics; Model accuracy; Model reduction; Neural networks; Nonlinear systems; Nonlinearity; Parameter robustness; Proper Orthogonal Decomposition; Reduced order models; Regularization; System effectiveness; Visualization; 37N10; 76M25; Extreme learning machine; Neural networks; 76F20; 76D99; Machine learning; Projection methods; Model order reduction; Burgers equation