A Quantitative Comparison of Different MLP Activation Functions in Classification.
Emad A. M. Andrews ShenoudaPublished in: ISNN (1) (2006)
Keyphrases
- activation function
- layer perceptron
- multi layer perceptron
- multilayer perceptron
- neural network
- neural architecture
- back propagation
- connection weights
- hidden nodes
- support vector
- pattern recognition
- classification accuracy
- radial basis function
- learning rate
- neural nets
- machine learning
- text classification
- decision trees
- artificial neural networks
- training phase
- feature selection
- feed forward neural networks
- feature set
- feed forward
- support vector machine svm
- classification algorithm
- training set
- feature extraction
- hidden neurons
- network architecture
- reinforcement learning
- hidden layer