Initial Errors Growth in Chaotic Low-Dimensional Weather Prediction Model.
Hynek BednarAles RaidlJirí MiksovskýPublished in: NOSTRADAMUS (2013)
Keyphrases
- prediction model
- low dimensional
- high dimensional
- regression model
- dimensionality reduction
- bp neural network
- neural network
- response surface methodology
- high dimensional data
- wavelet neural network
- predictive model
- principal component analysis
- manifold learning
- stepwise regression
- dimension reduction
- input space
- euclidean space
- fuzzy neural network
- data points
- initial conditions
- software reliability
- chaotic neural network
- exponential smoothing
- principal components
- forecasting model
- bp network
- pattern recognition