Neural Networks and Value at Risk.
Alexander ArimondDamian BorthAndreas HoepnerMichael KlawunnStefan WeisheitPublished in: CoRR (2020)
Keyphrases
- neural network
- risk factors
- pattern recognition
- training algorithm
- fuzzy systems
- acute coronary syndrome
- risk measures
- risk assessment
- risk management
- back propagation
- artificial neural networks
- genetic algorithm
- neural network model
- minimum risk
- neural nets
- decision making
- learning rules
- competitive learning
- databases
- self organizing maps
- data mining
- risk averse
- cellular neural networks
- risk analysis
- network architecture
- image sequences
- training process
- multi layer
- soft computing
- multilayer perceptron