PM2.5 Quality Concentration Prediction Based on Local Average Decomposition and Support Vector Regression.
Yuan-Hang YeWenbo WangPublished in: ICCDE (2023)
Keyphrases
- support vector regression
- regression model
- load forecasting
- prediction model
- response surface methodology
- forecasting accuracy
- kernel function
- support vector
- hybrid genetic
- support vector machine svm
- wavelet frame
- regression method
- electronic equipment
- support vector classification
- support vector machine
- prediction error
- hybrid model
- nonlinear regression
- machine learning
- extreme learning machine
- back propagation neural network
- kernel learning
- long term
- learning algorithm
- solution path
- forecasting model
- ann models
- hidden markov models
- data mining
- autoregressive conditional heteroscedasticity