Evaluation of the performances of ANN and SVM techniques used in water quality classification.
Mohamed BouamarMohamed LadjalPublished in: ICECS (2007)
Keyphrases
- support vector machine svm
- water quality
- support vector
- support vector machine
- improves the classification accuracy
- suzhou river
- svm classifier
- artificial neural networks
- classification algorithm
- feature selection
- grey relational analysis
- classification method
- feature vectors
- generalization ability
- decision boundary
- svm classification
- machine learning
- training set
- pattern recognition
- classification accuracy
- classification performances
- feature space
- knn
- unbalanced data
- multi class svm
- high classification accuracy
- hyperplane
- class labels
- supervised learning
- image classification
- text classification
- kernel function
- using artificial neural networks
- water treatment
- training data
- feature extraction
- quality management
- decision trees
- fuzzy support vector machine
- neural network
- genetic algorithm
- multiple kernel learning
- markov chain