A Hybrid MultiLayer Perceptron Under-Sampling with Bagging Dealing with a Real-Life Imbalanced Rice Dataset.
Moussa DialloShengwu XiongEshete Derb EmiruAwet FessehaAminu Onimisi AbdulsalamiMohamed Abd ElazizPublished in: Inf. (2021)
Keyphrases
- multilayer perceptron
- real life
- imbalanced data
- neural network
- synthetic datasets
- artificial neural networks
- radial basis function
- back propagation
- ensemble methods
- probabilistic neural networks
- hidden layer
- input vector
- decision trees
- commonly applied
- modular neural network
- neural network model
- benchmark datasets
- backpropagation algorithm
- random forest
- ensemble learning
- activation function
- radial basis function network
- training set
- feature set
- machine learning
- feedforward neural networks
- genetic algorithm
- learning algorithm
- search space
- real time
- ensemble classifier
- control system
- rbf neural network
- feed forward