GLRP: Guided by Layer-wise Relevance Propagation - Selecting Crucial Neurons in Artificial Neural Networks.
Fin Hendrik BahnsenBernhard J. BergerGörschwin FeyPublished in: MOCAST (2023)
Keyphrases
- artificial neural networks
- hidden layer
- output layer
- neural network
- synaptic weights
- neural models
- connection weights
- activation function
- back propagation
- hidden neurons
- feed forward
- single layer
- multilayer perceptron
- learning rules
- pairwise
- radial basis function
- spiking neural networks
- information retrieval
- multi layer
- using artificial neural networks
- wave propagation
- application of artificial neural networks
- computational intelligence
- feedforward neural networks
- neural model
- input variables
- application layer
- neural network model
- multi layer perceptron
- feed forward neural networks
- neural nets
- associative memory
- fuzzy neural network
- genetic algorithm ga
- visual cortex
- relevance feedback
- receptive fields
- genetic algorithm