Robust incremental growing multi-experts network
Most supervised neural networks are trained by minimizing the mean square error (MSE) of the training set. In the presence of outliers, the resulting neural network model can differ significantly from the underlying model that generates the data. This paper outlines two robust learning methods for a...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
2006
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/5180/ http://www.sciencedirect.com/science/article/pii/S1568494605000050 |
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