Assessing the Impact of Input Features in a Feedforward Neural Network.
Wenjia WangPhillis JonesDerek PartridgePublished in: Neural Comput. Appl. (2000)
Keyphrases
- input features
- feedforward neural networks
- activation function
- neural network
- back propagation
- hidden layer
- recurrent neural networks
- machine learning algorithms
- feed forward
- feature selection
- classification algorithm
- basis functions
- learning rate
- artificial neural networks
- multilayer perceptron
- neural nets
- class labels
- support vector machine
- network architecture
- feature values
- decision trees
- radial basis function
- support vector machine svm
- selected features
- feature extraction