Effects of Nonlinearity and Network Architecture on the Performance of Supervised Neural Networks.
Nalinda KulathungaNishath Rajiv RanasingheDaniel VrinceanuZackary KinsmanLei HuangYunjiao WangPublished in: Algorithms (2021)
Keyphrases
- network architecture
- neural network
- artificial neural
- neural network model
- connection weights
- network design
- activation function
- artificial neural networks
- semi supervised
- pattern recognition
- back propagation
- feed forward
- supervised learning
- machine learning
- genetic algorithm
- multi layer
- training algorithm
- pairwise
- training set
- network layer
- neural nets
- fuzzy systems
- hidden layer
- supervised classification
- learning algorithm
- biologically plausible
- network infrastructure
- fuzzy logic
- radial basis function