Extracting Relational Explanations From Deep Neural Networks: A Survey From a Neural-Symbolic Perspective.
Joseph TownsendThomas ChatonJoão M. MonteiroPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- neural network
- connectionist models
- neural learning
- network architecture
- connectionist systems
- connectionist learning
- symbolic knowledge
- artificial neural networks
- neural computation
- back propagation
- relational databases
- neural model
- relational data
- pattern recognition
- learning rules
- data model
- neural fuzzy
- symbolic representation
- multilayer perceptron
- associative memory
- neural nets
- object orientation
- fuzzy logic
- fault diagnosis
- neural architectures
- database schema
- multi layer
- databases
- multi layered
- fuzzy systems
- feed forward neural networks
- rule extraction
- relational learning
- training process
- activation function