Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach.
Kasun BandaraChristoph BergmeirSlawek SmylPublished in: Expert Syst. Appl. (2020)
Keyphrases
- recurrent neural networks
- similar objects
- homogeneous groups
- cluster analysis
- neural network
- data mining tasks
- clustering algorithm
- chaotic time series
- feed forward
- similar patterns
- echo state networks
- recurrent networks
- reservoir computing
- neural model
- artificial neural networks
- nonlinear dynamic systems
- cascade correlation
- short term
- clustering method
- k means
- complex valued
- long short term memory
- hierarchical clustering
- similarity search
- feedforward neural networks
- indexing techniques
- support vector regression
- fuzzy clustering
- document clustering
- high dimensional data
- data points
- artificial intelligence