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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

This paper 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...

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Hlavní autoři: Faraggi, Eshel, Xue, Bin, Zhou, Yaoqi
Médium: Artigo
Jazyk:Inglês
Vydáno: 2009
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2635924/
https://ncbi.nlm.nih.gov/pubmed/18704931
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/prot.22193
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