A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks.
Shangshang YangYe TianCheng HeXingyi ZhangKay Chen TanYaochu JinPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- neural network
- training process
- training algorithm
- genetic algorithm
- feed forward neural networks
- backpropagation algorithm
- back propagation
- multi layer perceptron
- feedforward neural networks
- neural network training
- pattern recognition
- data sets
- recurrent networks
- evolutionary computation
- weighted sums
- activation function
- self organizing maps
- training set
- artificial neural networks
- image processing
- deep architectures
- fault diagnosis
- training samples
- multi layer
- evolutionary optimization
- fuzzy logic
- gradient information
- error back propagation
- neural network structure
- deep learning
- radial basis function network
- neural network model
- training phase
- network architecture