Data Analysis and Forecasting of the COVID-19 Spread: A Comparison of Recurrent Neural Networks and Time Series Models.
Daniela A. Gomez-CraviotoRamon E. Diaz-RamosFrancisco J. Cantú OrtizHector G. CeballosPublished in: Cogn. Comput. (2024)
Keyphrases
- recurrent neural networks
- data analysis
- echo state networks
- chaotic time series
- box jenkins
- neural model
- reservoir computing
- nonlinear dynamic systems
- neural network
- feed forward
- weather forecasting
- neural network model
- autoregressive
- prediction model
- garch model
- dynamic time warping
- short term
- non stationary
- probabilistic model
- genetic algorithm
- data mining