Approximation Capabilities of Neural Networks using Morphological Perceptrons and Generalizations.
William ChangHassan HamadKeith M. ChuggPublished in: IEEECONF (2022)
Keyphrases
- neural network
- morphological image analysis
- activation function
- hidden layer
- single layer
- pattern recognition
- multi layered
- artificial neural networks
- approximation error
- back propagation
- learning capabilities
- closed form
- mathematical morphology
- neural nets
- multi layer
- multilayer perceptron
- fuzzy logic
- relative error
- fault diagnosis
- morphological operations
- error bounds
- multiscale
- approximation methods
- data sets
- feed forward neural networks
- network architecture
- fuzzy systems
- learning rate
- self organizing maps
- input image