ESS-IM applied to forest fire spread prediction: Parameters tuning for a heterogeneous configuration.
Miguel Méndez-GarabettiGermán BianchiniPaola Caymes-ScutariMaría Laura TardivoPublished in: SCCC (2016)
Keyphrases
- fine tuning
- linear regression model
- root mean square error
- parameter optimization
- prediction accuracy
- parameter estimation
- radial basis function neural network
- fine tuned
- neural network
- sensitivity analysis
- data sets
- probability density function
- parameter settings
- prediction model
- expectation maximization
- computer vision
- information retrieval
- databases