Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems.
Dongkun ZhangLu LuLing GuoGeorge Em KarniadakisPublished in: J. Comput. Phys. (2019)
Keyphrases
- neural network
- solving problems
- combinatorial optimization
- pattern recognition
- uncertain data
- computer science
- sparse linear systems
- exact solution
- nonlinear programming
- forward and backward
- solving complex
- convex quadratic programming
- stochastic optimization problems
- algebraic equations
- convex optimization problems
- np complete problems
- robust optimization
- np complete
- optimization problems