Recurrent Neural Networks Applied to GNSS Time Series for Denoising and Prediction.
Elena Loli PiccolominiStefano GandolfiLuca PoluzziLuca TavasciPasquale CascaranoAndrea PascucciPublished in: TIME (2019)
Keyphrases
- recurrent neural networks
- denoising
- chaotic time series
- echo state networks
- neural network
- prediction accuracy
- feed forward
- financial time series
- artificial neural networks
- non stationary
- recurrent networks
- image denoising
- fuzzy sets
- dynamic time warping
- neural model
- real time
- cascade correlation
- short term prediction
- long short term memory