Bayesian Neural Learning via Langevin Dynamics for Chaotic Time Series Prediction.
Rohitash ChandraLamiae AziziSally CrippsPublished in: ICONIP (5) (2017)
Keyphrases
- neural learning
- multi layered
- chaotic dynamics
- intelligent robots
- neural network
- incremental learning
- mackey glass
- non stationary
- nonlinear dynamics
- cellular automata
- derivative free
- dynamic model
- initial conditions
- bayesian networks
- chaotic neural network
- neuro fuzzy
- recurrent neural networks
- neural network model
- dynamical systems
- function approximation
- multivariate time series
- artificial neural networks
- bayesian estimation
- chaotic time series
- dynamical behavior
- bayesian learning
- phase space
- decision theory
- maximum likelihood
- decision trees
- hopfield neural network
- dynamic behavior
- prediction model