Ensemble MLP Classifier Design

@inproceedings{Windeatt2008EnsembleMC,
  title={Ensemble MLP Classifier Design},
  author={T. Windeatt},
  booktitle={Computational Intelligence Paradigms},
  year={2008}
}
  • T. Windeatt
  • Published in
    Computational Intelligence…
    2008
  • Computer Science
Multi-layer perceptrons (MLP) make powerful classifiers that may provide superior performance compared with other classifiers, but are often criticized for the number of free parameters. Most commonly, parameters are set with the help of either a validation set or cross-validation techniques, but there is no guarantee that a pseudo-test set is representative. Further difficulties with MLPs include long training times and local minima. In this chapter, an ensemble of MLP classifiers is proposed… Expand
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