Combined Terrestrial Evapotranspiration Index prediction using a hybrid artificial intelligence paradigm integrated with relief algorithm-based feature selection.
Mehdi JameiAhmed ElbeltagiSaman MaroufpoorMasoud KarbasiMozhdeh JameiMohammadnabi JalaliNegin NajafzadehPublished in: Comput. Electron. Agric. (2022)
Keyphrases
- artificial intelligence
- high accuracy
- learning algorithm
- significant improvement
- feature selection
- cost function
- optimization algorithm
- dynamic programming
- worst case
- times faster
- classification algorithm
- expectation maximization
- objective function
- feature space
- preprocessing
- simulated annealing
- computational complexity
- selection algorithm
- detection algorithm
- matching algorithm
- optimal solution
- support vector classification
- prediction algorithm
- prediction error
- feature extraction
- tree structure
- search space
- segmentation algorithm
- dimensionality reduction
- computational cost
- training set