On-line classification of coal combustion quality using nonlinear SVM for improved neural network NOx emission rate prediction.
Jacob F. TuttleLanden BlackburnKody M. PowellPublished in: Comput. Chem. Eng. (2020)
Keyphrases
- support vector machine svm
- neural network
- power plant
- support vector
- support vector machine
- pattern recognition
- multi layer perceptron
- svm classifier
- classification algorithm
- prediction model
- feature vectors
- generalization ability
- classification method
- radial basis function neural network
- knn
- learning vector quantization
- prediction accuracy
- multi class
- training set
- feature space
- support vector machine classifiers
- radial basis function
- feature selection
- machine learning
- training process
- fault diagnosis
- decision boundary
- multi class classification
- classification accuracy
- improves the classification accuracy
- nearest neighbour
- ensemble classifier
- soft computing
- feature extraction
- pattern classification
- text classification
- image classification
- least squares support vector machine
- svm classification
- nonlinear functions
- fuzzy support vector machine
- decision trees
- high classification accuracy
- training speed
- auto associative
- extreme learning machine
- training data
- artificial neural networks
- training algorithm
- feature maps
- predictive model
- kernel function
- class labels
- support vectors
- ls svm
- historical data