Support Vector Machines versus Artificial Neural Networks for Wood Dielectric Loss Factor Estimation.
Lazaros S. IliadisStavros TachosStavros AvramidisShawn MansfieldPublished in: EANN/AIAI (1) (2011)
Keyphrases
- artificial neural networks
- support vector
- large margin classifiers
- learning machines
- radial basis function
- computational intelligence
- accurate estimation
- back propagation
- logistic regression
- using artificial neural networks
- neural network
- classification accuracy
- loss function
- estimation accuracy
- cross validation
- parameter estimation
- support vector machine
- feed forward
- multilayer perceptron
- generalization ability
- estimation algorithm
- application of artificial neural networks
- kernel methods
- feed forward neural networks
- multi class classification
- support vectors
- binary classification
- hyperplane
- genetic algorithm ga
- svm classifier
- kernel function
- multi class
- feature selection