Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions.
Ameya D. JagtapYeonjong ShinKenji KawaguchiGeorge Em KarniadakisPublished in: Neurocomputing (2022)
Keyphrases
- neural network
- activation function
- back propagation
- artificial neural networks
- multilayer perceptron
- feed forward neural networks
- feed forward
- hidden layer
- neural architecture
- neural nets
- complex valued
- hidden neurons
- feedforward neural networks
- network architecture
- pattern recognition
- neural network model
- radial basis function
- recurrent neural networks
- connection weights
- multi layer
- genetic algorithm
- fault diagnosis
- training phase
- machine learning
- learning algorithm
- decision making
- knn
- fuzzy logic
- learning rate
- basis functions
- bp neural network