NN approach and its comparison with NN-SVM to beta-barrel prediction
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- 作者：Hassan Kazemiana ; h.kazemian@londonmet.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Syed Adnan Yusufb ; adnan.yusuf@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Kenneth Whitea ; kenneth.white@londonmet.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Cedric Maxime Grimaldia ; rx8879@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Beta barrel prediction ; Protein analysis ; Neural Networks ; Support vector machine
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：1 November 2016
- 年：2016
- 卷：61
- 期：Complete
- 页码：203-214
- 全文大小：3987 K
文摘
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For single protein tests NN-SVM produced an accuracy of 94.51%.
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NN-SVM produced better results than NN.
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With 5 residue overlap NN-SVM performed better than NN.