Variational LSTM with Augmented Inputs: Nonlinear Response History Metamodeling with Aleatoric and Epistemic Uncertainty

Variational LSTM with Augmented Inputs: Nonlinear Response History Metamodeling with Aleatoric and Epistemic Uncertainty explores A variational LSTM with augmented inputs and Monte Carlo dropout to quantify both aleatoric and epistemic uncertainty in high-dimensional nonlinear dynamic structural systems, reducing computational burden.. Commercial viability score: 5/10 in Uncertainty Quantification in Structural Dynamics.