Training Neural Networks by Time-Fractional Gradient Descent.
Jingyi XieSirui LiPublished in: Axioms (2022)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- multi layer perceptron
- backpropagation algorithm
- back propagation
- neural network training
- cost function
- loss function
- stochastic gradient descent
- feed forward neural networks
- learning rules
- fuzzy logic
- multilayer perceptron
- training patterns
- pattern recognition
- training speed
- error back propagation
- training phase
- neural network structure
- training set
- conjugate gradient
- recurrent networks
- least squares
- training examples
- multilayer neural network
- learning rate
- radial basis function network
- multi layer
- associative memory
- radial basis function
- fault diagnosis
- training samples
- artificial neural networks
- objective function
- artificial intelligence
- genetic algorithm