A new flood forecasting model based on SVM and boosting learning algorithms.
Shijin LiKaikai MaZhou JinYuelong ZhuPublished in: CEC (2016)
Keyphrases
- learning algorithm
- generalization ability
- decision stumps
- support vector
- support vector machine svm
- kernel machines
- machine learning
- training data
- maximum margin
- support vector machine
- feature selection
- rainfall runoff
- classification algorithm
- boosting algorithms
- machine learning algorithms
- ensemble learning
- training algorithm
- multi class
- learning machines
- flood control
- base learners
- wavelet support vector machine
- short term
- forecasting accuracy
- adaboost algorithm
- rbf network
- reinforcement learning
- ensemble methods
- hyperplane
- batch mode
- predictive model
- learning rate
- learning scheme
- multi class classification
- ensemble classifier
- learning tasks
- back propagation
- support vector regression
- support vectors
- learning problems
- feature space
- training set
- large margin classifiers
- cost sensitive
- soft margin
- supervised learning
- svm classifier
- generalization error
- binary classification
- knn
- active learning
- weak learners
- base classifiers
- bayesian classifiers
- accurate classifiers
- training samples
- feature vectors
- training examples
- weak classifiers