MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity.
Daniel S. YeungJin-Cheng LiWing W. Y. NgPatrick P. K. ChanPublished in: IEEE Trans. Neural Networks Learn. Syst. (2016)
Keyphrases
- multiobjective optimization
- training error
- hidden layer
- multi layer perceptron
- multi objective
- multilayer perceptron
- multilayer perceptron neural network
- error rate
- min max
- generalization error
- back propagation
- artificial immune system
- gradient method
- classification error
- neural network
- adaboost algorithm
- swarm intelligence
- base classifiers
- radial basis function
- artificial neural networks
- neural network model
- upper bound
- evolutionary algorithm
- nsga ii
- boosting algorithms
- training set
- training process
- multi objective optimization
- feed forward
- supervised learning
- multiple objectives
- neural nets
- multiclass classification
- cross validation
- optimization algorithm
- model selection