Computational characteristics of feedforward neural networks for solving a stiff differential equation.
Toni SchneidereitMichael BreußPublished in: Neural Comput. Appl. (2022)
Keyphrases
- differential equations
- feedforward neural networks
- numerical methods
- feed forward artificial neural networks
- neural network
- runge kutta
- numerical solution
- dynamical systems
- hidden layer
- back propagation
- boundary value problem
- extreme learning machine
- recurrent neural networks
- ordinary differential equations
- difference equations
- continuous functions
- feed forward
- partial differential equations
- learning algorithm
- multiscale
- numerical integration
- pattern recognition
- artificial neural networks
- activation function
- search space
- training algorithm
- higher order
- multilayer perceptron