Time series prediction with a non-causal neural network.
Yicun OuyangHujun YinPublished in: CIFEr (2014)
Keyphrases
- neural network
- neural network model
- artificial neural networks
- recurrent neural networks
- prediction model
- back propagation
- pattern recognition
- hidden layer
- function approximation
- genetic algorithm
- chaotic time series
- non stationary
- mackey glass
- fuzzy logic
- activation function
- image reconstruction from projections
- causal theories
- neural network is trained
- bayesian networks
- backpropagation neural network
- auto associative
- causal reasoning
- radial basis function
- fuzzy neural network
- causal models
- network model
- rbf neural network
- multi layer perceptron
- feed forward neural networks
- back propagation neural network
- causal relations
- causal discovery
- rbf network
- least squares
- self organizing maps
- multilayer perceptron