Approximation Capabilities of Neural Networks using Morphological Perceptrons and Generalizations.
William ChangHassan HamadKeith M. ChuggPublished in: CoRR (2022)
Keyphrases
- neural network
- activation function
- morphological image analysis
- hidden layer
- single layer
- fuzzy logic
- feed forward
- pattern recognition
- approximation algorithms
- multilayer perceptron
- multi layered
- back propagation
- multiscale
- genetic algorithm
- mathematical morphology
- image processing
- edge detection
- artificial neural networks
- neural nets
- self organizing maps
- fault diagnosis
- learning capabilities
- recurrent neural networks
- approximation error
- structuring elements
- training process
- image analysis
- network architecture
- multi class
- relative error
- neural network model
- global exponential stability