... responses for random realizations of stochastic processes can be accurately predicted by the LSTM. With realizations of the random variables and stochastic processes, multiple LSTMs are trained for generating a set of augmented data. Then a deep feedforward neural network (DFN) is employed to ensemble...

... prediction for the thermal vibration behavior of a laminate when the stochastic thermal process is present. Duffing equation laminate thermal vibration stochastic process noise Copyright © 2009 by ASME 1 Proceedings of the 22th International Conference on Design Engineering Technical Conferences...