共 50 条
- [31] Uncertainty Quantification in Neural Networks Using Stochastic Differential Equations 2023 62ND ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS, SICE, 2023, : 1543 - 1548
- [33] Polynomial Neural Forms Using Feedforward Neural Networks for Solving Differential Equations ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING (ICAISC 2021), PT I, 2021, 12854 : 236 - 245
- [36] Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 2015, 3 (01): : 1109 - 1135
- [38] A MULTISTAGE WIENER CHAOS EXPANSION METHOD FOR STOCHASTIC ADVECTION-DIFFUSION-REACTION EQUATIONS SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2012, 34 (02): : A914 - A936
- [39] Feedforward neural network for solving partial differential equations J. Appl. Sci., 2007, 19 (2812-2817):
- [40] Neural Network Method for Solving Partial Differential Equations Neural Processing Letters, 2001, 14 : 261 - 271