A numerical method for solving Caputo's and Riemann-Liouville's fractional differential equations which includes multi-order fractional derivatives and variable coefficients.
David E. Betancur-HerreraNicolás Muñoz-GaleanoPublished in: Commun. Nonlinear Sci. Numer. Simul. (2020)
Keyphrases
- differential equations
- numerical methods
- fractional order
- feed forward artificial neural networks
- dynamical systems
- numerical solution
- runge kutta
- ordinary differential equations
- brownian motion
- artificial neural networks
- boundary value problem
- image analysis
- partial differential equations
- finite difference method
- higher order
- natural images
- object recognition
- reinforcement learning
- neural network