Two Instances of Interpretable Neural Network for Universal Approximations.
Erico TjoaCuntai GuanPublished in: CoRR (2021)
Keyphrases
- neural network
- back propagation
- pattern recognition
- closed form
- neural network model
- network model
- neural network is trained
- artificial neural networks
- associative memory
- neural nets
- machine learning
- backpropagation neural network
- auto associative
- training instances
- randomly generated
- fault diagnosis
- objective function
- network architecture
- feed forward neural networks
- prediction model
- learning vector quantization
- feed forward
- turing machine
- image reconstruction from projections