Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks.
Konstantin PoschJürgen PilzPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- neural network
- genetic algorithm
- similarity measure
- pattern recognition
- parameter estimation
- highly non linear
- input parameters
- fuzzy inference system
- artificial neural networks
- distance measure
- information theory
- parameter values
- highly correlated
- fuzzy logic
- measured data
- nonlinear dynamics
- maximum likelihood
- parameter space
- multilayer perceptron
- uncertain data
- multi layer
- network architecture
- probability measure
- data sets