SSDNet: State Space Decomposition Neural Network for Time Series Forecasting.
Yang LinIrena KoprinskaMashud RanaPublished in: CoRR (2021)
Keyphrases
- state space
- neural network
- artificial neural networks
- heuristic search
- reinforcement learning
- back propagation
- state variables
- markov decision processes
- dynamical systems
- neural network model
- network model
- neural nets
- feed forward
- markov decision process
- search space
- reinforcement learning algorithms
- training algorithm
- fuzzy neural network
- planning problems
- multi layer
- genetic algorithm
- self organizing maps
- decomposition method
- optimal policy
- markov chain
- image reconstruction from projections
- feedforward neural networks
- network architecture
- continuous time markov process
- bp neural network
- recurrent neural networks
- fault diagnosis
- particle filter
- pattern recognition
- hidden layer
- wavelet packet
- radial basis function
- basis functions
- action space
- learning vector quantization
- auto associative
- goal state
- continuous state spaces
- fuzzy logic