Prediction of Chemical Oxygen Demand in Sewage Based on Support Vector Machine and Neural Network.
Jian ZhouQian-Jing HuangXiao-Feng WangLe ZouPublished in: ICIC (1) (2019)
Keyphrases
- neural network
- support vector machine
- prediction model
- multi layer perceptron
- stock market prediction
- prediction accuracy
- artificial neural networks
- elman network
- training algorithm
- back propagation
- predictive model
- lead time
- radial basis function
- pattern recognition
- support vector
- radial basis function neural network
- extreme learning machine
- neural network ensemble
- chaotic time series
- neural network is trained
- prediction error
- support vector regression
- hyperplane
- recurrent neural networks
- multilayer perceptron
- svm classifier
- training set
- support vector machine svm
- machine learning
- learning algorithm
- genetic algorithm
- mackey glass
- fermentation process
- training data
- knn
- fuzzy logic
- decision forest
- ensemble classifier
- decision boundary
- neural network model
- fuzzy neural network
- data sets