Neural computing for grey Richards differential equation to forecast traffic parameters with various time granularity.
Jing HeShuhua MaoAdolf K. Y. NgPublished in: Neurocomputing (2023)
Keyphrases
- differential equations
- initial conditions
- ordinary differential equations
- difference equations
- dynamical systems
- grey theory
- numerical methods
- neural network
- brownian motion
- short term
- runge kutta
- forecasting model
- boundary value problem
- numerical solution
- network architecture
- partial differential equations
- passenger flow
- feed forward artificial neural networks
- sensitivity analysis
- continuous functions
- exponential smoothing