Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning

@article{Chen2010MultiobjectiveNN,
  title={Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning},
  author={Huanhuan Chen and Xin Yao},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2010},
  volume={22},
  pages={1738-1751}
}
Negative Correlation Learning (NCL) [CHECK END OF SENTENCE], [CHECK END OF SENTENCE] is a neural network ensemble learning algorithm which introduces a correlation penalty term to the cost function of each individual network so that each neural network minimizes its mean-square-error (MSE) together with the correlation. This paper describes NCL in detail and observes that the NCL corresponds to training the entire ensemble as a single learning machine that only minimizes the MSE without… CONTINUE READING