On postprocessing of neural network prediction of polyproline type II secondary structures: Network spectrum, response analysis, and scattering

DOI10.1007/S00521-003-0360-5zbMath1039.68106DBLPjournals/nca/SiermalaJV03OpenAlexW2056227605WikidataQ58532889 ScholiaQ58532889MaRDI QIDQ1403021

M. Siermala, Martti Juhola, M. Vihinen

Publication date: 31 August 2003

Published in: Neural Computing and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00521-003-0360-5

zbMATH Keywords

neural networkHamming distancespattern spacelearnability of data

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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Prediction by support vector machines and analysis by \(Z\)-score of poly-\(L\)-proline type II conformation based on local sequence

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