Improving the prediction accuracy of residue solvent accessibility and real-value backbone torsion angles of proteins by guided-learning through a two-layer neural network.

@article{Faraggi2009ImprovingTP,
  title={Improving the prediction accuracy of residue solvent accessibility and real-value backbone torsion angles of proteins by guided-learning through a two-layer neural network.},
  author={Eshel Faraggi and B. Q. Xue and Yaoqi Zhou},
  journal={Proteins},
  year={2009},
  volume={74 4},
  pages={847-56}
}
This article attempts to increase the prediction accuracy of residue solvent accessibility and real-value backbone torsion angles of proteins through improved learning. Most methods developed for improving the backpropagation algorithm of artificial neural networks are limited to small neural networks. Here, we introduce a guided-learning method suitable for networks of any size. The method employs a part of the weights for guiding and the other part for training and optimization. We… CONTINUE READING
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