International Journal of Computational Intelligence Systems

Volume 2, Issue 4, December 2009, Pages 343 - 352

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

Authors
Anjum Reyaz-Ahmed, Yan-Qing Zhang, Robert W. Harrison
Corresponding Author
Anjum Reyaz-Ahmed
Received 5 January 2009, Accepted 8 October 2009, Available Online 1 December 2009.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
2 - 4
Pages
343 - 352
Publication Date
2009/12
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2009.2.4.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Anjum Reyaz-Ahmed
AU  - Yan-Qing Zhang
AU  - Robert W. Harrison
PY  - 2009
DA  - 2009/12
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  - https://doi.org/10.2991/ijcis.2009.2.4.3
ID  - Reyaz-Ahmed2009
ER  -