Non-Gradient Manifold Neural Network.
Rui ZhangZiheng JiaoHongyuan ZhangXuelong LiPublished in: CoRR (2021)
Keyphrases
- neural network
- artificial neural networks
- gradient vector
- back propagation
- manifold learning
- genetic algorithm
- training algorithm
- feature space
- gradient information
- edge detection
- neural network model
- network architecture
- geodesic distance
- activation function
- euclidean space
- image gradient
- associative memory
- recurrent neural networks
- multilayer perceptron
- feed forward
- radial basis function
- feature extraction
- high dimensional
- multi layer perceptron
- neural network is trained
- neural nets
- geometric structure
- multiscale
- multi layer
- bp neural network
- self organizing maps
- fault diagnosis
- low dimensional