MLP-Based Equalization and Pre-Distortion Using an Artificial Immune Network

@article{Attux2005MLPBasedEA,
  title={MLP-Based Equalization and Pre-Distortion Using an Artificial Immune Network},
  author={R.Rde.F. Attux and L. T. Duarte and R. Ferrari and C. M. Panazio and L. N. de Castro and F. J. Von Zuben and J. M. Travassos Romano},
  journal={2005 IEEE Workshop on Machine Learning for Signal Processing},
  year={2005},
  pages={177-182}
}
Due to its universal approximation capability, the multilayer perceptron (MLP) neural network has been applied to several function approximation and classification tasks. Despite its success in solving these problems, its training, when performed by a gradient-based method, is sometimes hindered by the existence of unsatisfactory solutions (local minima). In order to overcome this difficulty, this paper proposes a novel approach to the training of a MLP based on a simple artificial immune… CONTINUE READING

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