• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid
The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.
SCImago Journal & Country Rank

Journal Search

  1. Home
  2. Archive
  3. 2018-08 (Vol.67 No.08)
  4. 10.5370/KIEE.2018.67.8.1071
XML PDF INFO REF

References

1 
G. B. Huang, Q. Y. Zhu, C. K. Siew, "Extreme learning machine: Theory and applications", Neurocomputing, Vol. 70, No. 1-3, pp. 489-501, 2006DOI
2 
S. K. Oh, W. Pedrycz, "The design of self-organizing Polynomial Neural Networks", Information Sciences, Vol. 141, No. 3-4, pp. 237-258, 2002DOI
3 
S. Oh, W. Pedrycz, "Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems", Fuzzy Sets and Systems, Vol. 115, No. 2, pp. 205-230, 2000DOI
4 
S. K. Oh, D. W. Kim, W. Pedrycz, "Hybrid fuzzy polynomial neural networks", International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 10, No. 3, pp. 257-280, June 2002DOI
5 
S. K. Oh, W. Pedrycz, "The design of self-organizing Polynomial Neural Networks", Information Sciences, Vol. 141, No. 3-4, pp. 237-258, 2002DOI
6 
S. K. Oh, W. Pedrycz, B. J. Park, "Polynomial neural networks architecture: Analysis and design", Computers and Electrical Engineering, Vol. 29, No. 6, pp. 703-725, 2003DOI
7 
C. Cortes, V. Vapnik, "Support-Vector Networks", Machine Learning, Vol. 20, No. 3, pp. 273-297, 1995DOI
8 
Theodore B. Trafalis, Huseyin Ince, "Support vector machine for regression and applications to financial forecasting", Proceedings of the International Joint Conference on Neural Networks, Vol. 6, pp. 348-353, 2000Google Search
9 
W. S. Noble, "Support vector machine applications in computational biology", Kernel Methods in Computational Biology, pp. 71-92, 2004Google Search
10 
K. S. Goh, E. Y. Chang, B. Li, "Using one-class and two-class SVMs for multiclass image annotation", IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 10, pp. 1333-1346, 2005DOI
11 
D. Isa, L. H. Lee, V. P. Kallimani, R. Rajkumar, "Text document preprocessing with the bayes formula for classification using the support vector machine", IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 9, pp. 1264-1272, 2008DOI
12 
M. B. Karsten, "Kernel methods in bioinformatics", Handbook of Statistical Bioinformatics, Part 3, pp. 317-334, 2011Google Search
13 
R. E. Perez, K. Behdinan, "Particle swarm approach for structural design optimization", Computers and Structures, Vol. 85, No. 19-20, pp. 1579-1588, 2007DOI
14 
C. A. Coello Coello, M. S. Lechuga, "MOPSO: A proposal for multiple objective particle swarm optimization", Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002, Vol. 2, pp. 12-17, 2002DOI
15 
E. Frank, M. A. Hall, I. H. Witten, "The WEKA Workbench: Online Appendix for “Data Mining: Practical Machine Learning Tools and Techniques”", The WEKA Workbench. Online Appendix for Data Mining: Practical Machine Learning Tools and Techniques, 2016Google Search