A new predictive model for the filtered volume and outlet parameters in micro-irrigation sand filters fed with effluents using the hybrid PSO-SVM-based approach.
P. J. García NietoEsperanza García GonzaloGerard ArbatMiquel Duran-RosFrancisco Ramírez de CartagenaJaume Puig-BarguésPublished in: Comput. Electron. Agric. (2016)
Keyphrases
- predictive model
- hybrid pso
- historical data
- artificial neural networks
- support vector
- prediction model
- decision trees
- support vector machine
- neural network
- feature selection
- parameter values
- probabilistic model
- support vector machine svm
- classification rules
- hybrid model
- knn
- multiresolution
- computational intelligence
- regression model
- search space
- genetic algorithm
- machine learning