HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations.
Yao HuangWenrui HaoGuang LinPublished in: Comput. Math. Appl. (2022)
Keyphrases
- boundary value problem
- differential equations
- neural network
- ordinary differential equations
- learning process
- numerical methods
- difference equations
- dynamical systems
- boundary conditions
- partial differential equations
- numerical solution
- neural nets
- artificial neural networks
- computer science
- pattern recognition
- multiscale
- least squares