Quality of experience prediction in mobility scenarios based on recurrent neural networks.
Gonzalo J. Anaya-LópezCarlos Cárdenas AngelatDavid Jiménez-SoriaM. Carmen Aguayo-TorresN. Guerra-MelgaresJanie Baños PolglasePublished in: VTC Spring (2020)
Keyphrases
- recurrent neural networks
- chaotic time series
- echo state networks
- high quality
- reservoir computing
- neural network
- artificial neural networks
- feed forward
- prediction accuracy
- complex valued
- recurrent networks
- prediction model
- hebbian learning
- feedforward neural networks
- long short term memory
- quality prediction
- hidden layer
- real world
- cascade correlation
- prediction error
- nonlinear dynamic systems