Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE).
Yuntian ChenYingtao LuoQiang LiuHao XuDongxiao ZhangPublished in: CoRR (2021)
Keyphrases
- partial differential equations
- genetic algorithm
- numerical solution
- numerical methods
- fourth order
- image denoising
- anisotropic diffusion
- differential equations
- perona malik
- heat equation
- finite difference
- level set
- boundary value problem
- image processing
- hamilton jacobi
- image enhancement
- neural network
- difference equations
- shock filter
- finite difference method
- evolution equation
- numerical algorithms
- multiscale
- energy functional
- numerical scheme
- eikonal equation
- curve evolution
- crossover and mutation
- fitness function
- evolutionary algorithm
- diffusion equation
- genetic operators
- high order
- euler lagrange equations
- denoising
- genetic algorithm ga
- natural images
- mumford shah model
- methods in computer vision
- pattern recognition
- image segmentation
- nonlinear partial differential equations