Combined Effect of Soft Computing Methods in Classification-Reference-Cited by-同舟云学术

Combined Effect of Soft Computing Methods in Classification

Published:2016-12-01 Issue: Volume: Page:501-509
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Kompalli Vijaya Sri,Kuruba Usha Rani

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-2471-9_49

Reference17 articles.

1. Eva Volna: Introduction to Soft Computing. 1st Edition, ISBN 978–87-403-0573-9 (2013).

2. Janmenjoy Nayak, Bighnaraj Nayak, Behra H. S.: A Comprehensive Survey on Support Vector Machine in Data Mining Tasks: Applications & Challenges. International Journal of Database Theory and Applications. Vol. 8, No. 1, pp. 169–186 (2015).

3. Zhang, G. P.: Neural Network for a Classification: a survey. IEEE transactions on Systems, Man and cybernetics-part C: Applications and Reviews, 30(4), 451–462 (2000).

4. Riyadh AbdEl-Salam Hassan, AbdEl-Fatah Hegazy, Amr Ahmed Badr: Optimize Support Vector Machine Classifier based on Evolutionary Algorithm for Breast Cancer Diagnosis. IJCSNS, Vol.10, No. 12, (2010).

5. Suresh Chandra Satapathy, Bhabendra Narayan Biswal, Siba. Udgata K., Mandal J. K.: Proceedings on 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Vol. 1, Page 367 (2014).

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