A hybrid approach of support vector regression with genetic algorithm optimization for aquaculture water quality prediction.
Shuangyin LiuHaijiang TaiQisheng DingDaoliang LiLongqin XuYaoguang WeiPublished in: Math. Comput. Model. (2013)
Keyphrases
- support vector regression
- quality prediction
- genetic algorithm
- optimization method
- hybrid model
- regression model
- support vector
- optimal parameters
- image quality
- support vector classification
- kernel function
- support vector machine svm
- dissolved oxygen
- optimization algorithm
- evolution strategy
- forecasting accuracy
- extreme learning machine
- hybrid genetic
- multi objective
- response surface methodology
- parameter optimization
- forecasting model
- global optimization
- neural network
- support vector machine
- evolutionary algorithm
- feature selection
- kernel learning
- wavelet frame
- fuzzy inference system
- global search
- particle swarm optimization
- fuzzy logic
- classification accuracy