Memory and forecasting capacities of nonlinear recurrent networks.
Lukas GononLyudmila GrigoryevaJuan-Pablo OrtegaPublished in: CoRR (2020)
Keyphrases
- recurrent networks
- recurrent neural networks
- neural network
- feed forward
- auto associative
- biologically inspired
- computing power
- short term
- memory usage
- weather forecasting
- memory space
- memory requirements
- arima model
- main memory
- long term
- artificial neural networks
- genetic algorithm
- prediction model
- electricity consumption
- learning algorithm
- support vector
- financial time series
- limited memory
- early warning
- random access
- computational power
- support vector regression
- associative memory