Investigating the influence of noise and distractors on the interpretation of neural networks.
Pieter-Jan KindermansKristof SchüttKlaus-Robert MüllerSven DähnePublished in: CoRR (2016)
Keyphrases
- neural network
- noise level
- noisy data
- random noise
- fuzzy logic
- artificial neural networks
- image interpretation
- pattern recognition
- signal to noise ratio
- noise free
- neural nets
- recurrent neural networks
- factors influencing
- noise model
- additive noise
- image noise
- noisy environments
- noise reduction
- fault diagnosis
- genetic algorithm
- rule extraction
- low signal to noise ratio
- personality traits
- low snr
- noise removal
- associative memory
- multilayer perceptron
- feed forward
- neural network model
- control system
- expert systems
- high level