A novel optimization-based physics-informed neural network scheme for solving fractional differential equations.
Sivalingam S. MPushpendra KumarV. GovindarajPublished in: Eng. Comput. (2024)
Keyphrases
- differential equations
- feed forward artificial neural networks
- fractional order
- neural network
- runge kutta
- dynamical systems
- combinatorial optimization
- numerical solution
- ordinary differential equations
- artificial neural networks
- numerical methods
- nonlinear programming
- boundary value problem
- pattern recognition
- pairwise
- optimal control problems
- nonlinear differential equations
- brownian motion
- transmission line
- partial differential equations
- optimization problems
- computer vision
- difference equations
- back propagation
- genetic algorithm