A Comparison of Artificial Neural Network(ANN) and Support Vector Machine(SVM) Classifiers for Neural Seizure Detection.
Mohamed A. ElgammalHassan MostafaKhaled N. SalamaAhmed Nader MohieldinPublished in: MWSCAS (2019)
Keyphrases
- artificial neural networks
- svm classifier
- support vector machine
- neural network
- support vector
- support vector machine svm
- support vector machine classifier
- selected features
- feature vectors
- ann models
- learning rules
- back propagation
- network architecture
- using artificial neural networks
- image classification
- multi layer perceptron
- training data
- multi class
- svm classification
- support vectors
- kernel function
- hyperplane
- feature selection
- radial basis function
- adaboost classifier
- genetic algorithm ga
- k nearest neighbor
- training set
- application of artificial neural networks
- generalization ability
- feed forward
- neural network model
- classification method
- feed forward neural networks
- backpropagation neural network
- reduced set
- activation function
- considerable increase
- input variables
- machine learning
- genetic algorithm
- pattern recognition
- feature space
- knn
- multilayer perceptron
- ls svm
- kernel methods
- binary classifiers
- active learning
- video recordings
- text classifiers
- object recognition
- feature extraction
- epileptic seizures
- hidden layer