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Complexity of error hypersurfaces in multilayer perceptrons

Xun Liang1

  • 1Institute of Computer Science and Technology, Peking University, Beijing 100871, China. liangxun@founder.com

International Journal of Neural Systems
|July 10, 2004
PubMed
Summary

This study simplifies understanding multilayer perceptron error hypersurfaces by classifying congruent pattern sets and error hypersurfaces. The number of congruent classes is significantly less than total classes, especially as input dimension increases.

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