Training Morphological Neural Networks with Gradient Descent: Some Theoretical Insights.
Samy BlusseauPublished in: DGMM (2024)
Keyphrases
- theoretical insights
- neural network
- training process
- training algorithm
- pattern recognition
- morphological image analysis
- feed forward neural networks
- feedforward neural networks
- neural network training
- back propagation
- backpropagation algorithm
- image processing
- fuzzy logic
- supervised learning
- training set
- multi layer perceptron
- training patterns
- conjugate gradient
- radial basis function network
- multi layer
- mathematical morphology
- multiscale
- fuzzy systems
- genetic algorithm
- learning rules
- neural nets
- test set
- error function
- data sets
- neural network structure
- self organizing maps
- feed forward
- stochastic gradient descent
- multilayer perceptron
- morphological filters
- structuring elements
- activation function
- artificial neural networks
- training phase