Leaming Lorenz attractor differential equations using neural network.
Lukás FormanekOndrej KarpisPublished in: SEEDA-CECNSM (2020)
Keyphrases
- differential equations
- dynamical systems
- neural network
- cellular automata
- ordinary differential equations
- phase space
- fixed point
- numerical solution
- dynamic systems
- artificial neural networks
- boundary value problem
- brownian motion
- numerical methods
- linear systems
- initial conditions
- pattern recognition
- transmission line
- back propagation
- state space
- feed forward artificial neural networks
- dynamic behavior
- runge kutta
- control law
- nonlinear differential equations
- chaotic systems
- training algorithm
- network model
- learning algorithm
- machine learning