A novel numerical approach for time-varying impulsive fractional differential equations using theory of functional connections and neural network.
Sivalingam S. MV. GovindarajPublished in: Expert Syst. Appl. (2024)
Keyphrases
- differential equations
- feed forward artificial neural networks
- neural network
- fractional order
- numerical methods
- control theory
- dynamical systems
- brownian motion
- stochastic differential equations
- difference equations
- artificial neural networks
- runge kutta
- numerical solution
- initial conditions
- boundary value problem
- ordinary differential equations
- pattern recognition
- levenberg marquardt
- cellular neural networks
- network model
- nonlinear differential equations
- activation function
- feature vectors
- search algorithm
- genetic algorithm