The Effect of Noise and Brightness on Convolutional Deep Neural Networks.
José A. Rodríguez-RodríguezMiguel A. Molina-CabelloRafaela Benítez-RochelEzequiel López-RubioPublished in: ICPR Workshops (6) (2020)
Keyphrases
- neural network
- deep learning
- pattern recognition
- network architecture
- back propagation
- noise level
- genetic algorithm
- fuzzy logic
- artificial neural networks
- gray level
- missing data
- neural network model
- additive noise
- multi layer
- noise reduction
- image brightness
- deep belief networks
- signal to noise ratio
- rule extraction
- multilayer perceptron
- optical flow
- machine learning