Analyzing the Effects of Noise and Variation on the Accuracy of Analog Neural Networks.
Devon JankeDavid V. AndersonPublished in: MWSCAS (2020)
Keyphrases
- neural network
- pattern recognition
- missing data
- noise level
- high accuracy
- fuzzy logic
- signal processing
- random noise
- prediction accuracy
- noise model
- figure of merit
- noise sensitivity
- noisy data
- error rate
- image quality
- computational efficiency
- signal to noise ratio
- recurrent neural networks
- computational complexity
- data sets
- intensity variations
- class noise
- classification accuracy