Prediction of sugar beet yield and quality parameters with varying nitrogen fertilization using ensemble decision trees and artificial neural networks.
Ivana VargaDorijan RadocajMladen JurisicAntonela Markulj KulundzicManda AntunovicPublished in: Comput. Electron. Agric. (2023)
Keyphrases
- artificial neural networks
- decision trees
- neural network
- ann models
- prediction accuracy
- ensemble methods
- random forest
- neural network ensemble
- back propagation
- base classifiers
- predictive model
- maximum likelihood
- parameter optimization
- ensemble classifier
- linear regression model
- input variables
- random forests
- machine learning
- training data
- high quality
- prediction model
- quality prediction
- training set
- decision tree classifiers
- decision tree induction
- levenberg marquardt
- computational intelligence
- using artificial neural networks
- neural network model
- multi layer perceptron
- feature set
- multilayer perceptron
- classification trees
- expectation maximization
- ensemble learning
- prediction error
- parameter estimation
- genetic algorithm ga
- feature selection
- genetic algorithm
- feed forward artificial neural networks
- evolutionary artificial neural networks