Uncertainty measurements in neural network predictions for classification tasks.
Alta de WaalCarl SteynPublished in: FUSION (2020)
Keyphrases
- neural network
- measurement noise
- measurement errors
- neural network model
- back propagation
- artificial neural networks
- measurement error
- uncertain data
- multilayer perceptron
- genetic algorithm
- network architecture
- feed forward neural networks
- feedforward neural networks
- bp neural network
- auto associative
- fault diagnosis
- pattern recognition
- possibility theory
- robust optimization
- neural network is trained
- hybrid neural network
- nearest neighbour
- decision theory
- fuzzy neural network
- confidence intervals
- hidden layer
- network model
- online auctions
- recurrent neural networks
- self organizing maps
- knn
- training data
- artificial intelligence
- learning algorithm