Volume 2, Issue 4, December 2009, Pages 343 - 352
Granular Decision Tree and Evolutionary Neural SVM for Protein Secondary Structure Prediction
Anjum Reyaz-Ahmed, Yan-Qing Zhang, Robert W. Harrison
Received 5 January 2009, Accepted 8 October 2009, Available Online 1 December 2009.
- https://doi.org/10.2991/ijcis.2009.2.4.3How to use a DOI?
- evolutionary computation; granular decision tree; neural networks; protein structure prediction; support vector machines; tertiary classifier.
- 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.
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 -