## A niching evolutionary algorithm with adaptive negative correlation learning for neural network ensemble

- Weiguo Sheng, Pengxiao Shan, Shengyong Chen, Yurong Liu, Fuad E. Alsaadi
- Neurocomputing
- 2017

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@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} }

- Published 2010 in IEEE Transactions on Knowledge and Data…
DOI:10.1109/TKDE.2010.26

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

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