Training morphological neural networks with gradient descent: some theoretical insights.
Samy BlusseauPublished in: CoRR (2024)
Keyphrases
- theoretical insights
- neural network
- training process
- training algorithm
- feedforward neural networks
- backpropagation algorithm
- cost function
- morphological image analysis
- multi layer perceptron
- feed forward neural networks
- pattern recognition
- neural network training
- recurrent networks
- conjugate gradient
- training phase
- multiscale
- fuzzy logic
- back propagation
- artificial neural networks
- feed forward
- radial basis function network
- morphological operations
- error back propagation
- recurrent neural networks
- multilayer perceptron
- mathematical morphology
- test set
- image processing
- morphological operators
- fuzzy systems
- self organizing maps
- fault diagnosis
- error function
- training samples
- support vector machine
- image analysis
- support vector
- neural network structure
- training data
- image segmentation