Granular Decision Tree and Evolutionary Neural SVM for Protein Secondary Structure Prediction

DOI

10.2991/ijcis.2009.2.4.3How to use a DOI?

Keywords

evolutionary computation; granular decision tree; neural networks; protein structure prediction; support vector machines; tertiary classifier.

Abstract

A new sliding window scheme is introduced with multiple windows to form the protein data for SVM. Two new tertiary classifiers are introduced; one of them makes use of support vector machines as neurons in neural network architecture and the other tertiary classifier is a granular decision tree based on granular computing, decision tree and SVM. Binary classifier using multiple windows is compared with single window scheme. The accuracy levels of the new classifiers are better than most available techniques.

Copyright

© 2009, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Anjum Reyaz-Ahmed
AU  - Yan-Qing Zhang
AU  - Robert W. Harrison
PY  - 2009
DA  - 2009/12/01
TI  - Granular Decision Tree and Evolutionary Neural SVM for Protein Secondary Structure Prediction
JO  - International Journal of Computational Intelligence Systems
SP  - 343
EP  - 352
VL  - 2
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2009.2.4.3
DO  - 10.2991/ijcis.2009.2.4.3
ID  - Reyaz-Ahmed2009
ER  -