Emergent Explainability: Adding a causal chain to neural network inference.
Adam PerrettPublished in: CoRR (2024)
Keyphrases
- neural network
- bayesian networks
- causal inference
- causal theories
- artificial neural networks
- back propagation
- neural network model
- pattern recognition
- causal models
- belief networks
- neural network is trained
- inference process
- training algorithm
- causal independence
- expert systems
- learning algorithm
- causal relationships
- backpropagation neural network
- fault diagnosis
- fuzzy logic
- image reconstruction from projections
- causal networks
- feedforward neural networks
- neural nets
- inference engine
- training process
- network model
- bayesian inference
- bp neural network
- feed forward
- experimental data
- multi agent systems
- genetic algorithm