On Neural Network Activation Functions and Optimizers in Relation to Polynomial Regression.
John PomeratAviv SegevRituparna DattaPublished in: IEEE BigData (2019)
Keyphrases
- activation function
- polynomial regression
- neural network
- back propagation
- hidden layer
- feed forward
- artificial neural networks
- feed forward neural networks
- neural architecture
- neural nets
- locally weighted
- multilayer perceptron
- basis functions
- network architecture
- radial basis function
- learning rate
- recurrent neural networks
- multi layer perceptron
- mdl principle
- neural network model
- fuzzy neural network
- fuzzy logic
- genetic algorithm
- pattern recognition
- prediction model
- regression model
- training phase
- feature selection
- social networks