Accurate fault location on EHV lines using both RBF based support vector machine and SCALCG based neural network.
K. GayathriNarayanan KumarappanPublished in: Expert Syst. Appl. (2010)
Keyphrases
- neural network
- support vector machine
- radial basis function
- fault diagnosis
- rbf neural network
- support vector machine svm
- artificial neural networks
- rbf network
- fuzzy logic
- svm classifier
- function approximation
- multi class
- mlp neural networks
- hidden layer
- back propagation
- training algorithm
- support vector
- neural network model
- multi layer perceptron
- multilayer perceptron
- feed forward
- machine learning
- high accuracy
- computationally efficient
- generalization ability
- activation function
- radial basis function network
- kernel methods
- hough transform
- recurrent neural networks
- neural nets
- feature selection
- support vector regression
- knn
- feed forward neural networks
- high quality
- fault detection
- wire frame
- binary decision tree
- decision boundary
- training data
- feature space
- state space
- bp neural network
- self organizing maps
- straight line