FAT: Training Neural Networks for Reliable Inference Under Hardware Faults.
Ussama ZahidGiulio GambardellaNicholas J. FraserMichaela BlottKees A. VissersPublished in: CoRR (2020)
Keyphrases
- neural network
- training process
- fault diagnosis
- training algorithm
- feedforward neural networks
- backpropagation algorithm
- feed forward neural networks
- structured prediction
- back propagation
- multi layer perceptron
- low cost
- neural network training
- cost effective
- training set
- pattern recognition
- real time
- multi layer
- radial basis function network
- error back propagation
- error detection
- computer systems
- test set
- genetic algorithm
- bayesian inference
- neural network structure
- recurrent networks
- artificial neural networks
- fuzzy logic
- data acquisition
- magnetic field
- hardware and software
- training examples
- training phase
- computer software
- training patterns
- probabilistic inference
- bayesian networks
- knowledge base
- fuzzy systems