Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders

2019/11/15 by Kookjin Lee, Kevin T. Carlberg, Kevin Carlberg · 37 citations
Physics and Astronomy · Engineering · Computer Science · #Model Reduction and Neural Networks #Nuclear reactor physics and engineering #Gaussian Processes and Bayesian Inference

paper · doi:10.1016/j.jcp.2019.108973

Citations

• Principal component analysis in linear systems: Controllability, observability, and model reduction
• Analysis of a complex of statistical variables into principal components.
• Balanced Model Reduction via the Proper Orthogonal Decomposition
• Gradient-based learning applied to document recognition
• Coupling of substructures for dynamic analyses.

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