Computational characteristics of feedforward neural networks for solving a stiff differential equation.
Toni SchneidereitMichael BreußPublished in: CoRR (2020)
Keyphrases
- differential equations
- feedforward neural networks
- numerical methods
- feed forward artificial neural networks
- runge kutta
- numerical solution
- back propagation
- dynamical systems
- neural network
- continuous functions
- ordinary differential equations
- recurrent neural networks
- activation function
- extreme learning machine
- boundary value problem
- hidden layer
- multilayer perceptron
- partial differential equations
- numerical integration
- difference equations
- feature space
- pattern recognition
- image segmentation