Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel.
Ziyang JiangTongshu ZhengDavid E. CarlsonPublished in: CoRR (2022)
Keyphrases
- incorporating prior knowledge
- neural network
- prior knowledge
- kernel methods
- genetic algorithm
- pattern recognition
- fuzzy systems
- multi layer
- artificial neural networks
- back propagation
- recurrent neural networks
- feed forward
- rule extraction
- multilayer perceptron
- neural network model
- fuzzy logic
- support vector
- fault diagnosis
- feature space
- kernel machines
- associative memory
- neural nets
- support vector machine
- feature maps
- component analysis
- convolution kernel