AdaBoost with Neural Networks for Yield and Protein Prediction in Precision Agriculture.
Amy PeerlinckJohn SheppardJacob J. SenecalPublished in: IJCNN (2019)
Keyphrases
- neural network
- precision agriculture
- subcellular localization
- contact map
- prediction accuracy
- protein structure prediction
- prediction model
- protein secondary structure
- artificial neural networks to predict
- pattern recognition
- drug design
- object detection
- learning algorithm
- contact maps
- multi class
- face detection
- neural networks and support vector machines
- protein homology
- protein sequences
- protein structure
- protein interaction
- protein tertiary structure
- adaboost algorithm
- training process
- data mining
- multi layer perceptron
- back propagation
- remote homology detection
- decision trees
- support vector
- prediction error
- predicting protein
- multilayer perceptron
- fuzzy logic
- ensemble methods
- experimentally determined
- feature selection
- neural network model
- protein function prediction
- protein interaction data
- gene prediction
- amino acid sequences
- training data
- physico chemical
- amino acids
- genetic algorithm