Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data.
Patrick L. McDermottChristopher K. WiklePublished in: Entropy (2019)
Keyphrases
- temporal data
- recurrent neural networks
- spatial data
- neural network
- temporal databases
- temporal information
- temporal relationships
- neural model
- reservoir computing
- echo state networks
- temporal data mining
- complex valued
- multivariate time series
- feed forward
- temporal sequences
- temporal patterns
- probabilistic model
- temporal dimension
- spatio temporal
- database systems
- neural network structure
- nonlinear dynamic systems
- three dimensional