Minimizing risk using prediction uncertainty in neural network estimation fusion and its application to papermaking.
Peter J. EdwardsAndrew M. PeacockDavid S. RenshawJohn M. HannahAlan F. MurrayPublished in: IEEE Trans. Neural Networks (2002)
Keyphrases
- neural network
- prediction model
- risk measures
- prediction accuracy
- risk averse
- artificial neural networks
- back propagation
- multi layer perceptron
- pattern recognition
- elman network
- expected utility
- chaotic time series
- parameter estimation
- prediction algorithm
- neural network ensemble
- predictive model
- genetic algorithm
- estimation algorithm
- risk management
- information fusion
- risk factors
- accurate estimation
- prediction error
- risk aversion
- self organizing maps
- estimation accuracy
- estimation process
- recurrent neural networks
- data fusion
- prediction intervals