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2 Yoh-Han Pao, 박광훈, Dejan J. Sobajic (1994.04). Learning and generalization characteristics of the random vector functional-link net, Neurocomputing, vol. 6, no. 2, pp. 163-180. (INVITED, IF: 2.471)
http://dx.doi.org/10.1016/0925-2312(94)90053-1

The RVFLN (Random Vector Functional Link Network) had been introduced in following Textbook:
Pattern Recognition using Neural Networks - Theory and Algorithms for Engineers and Scientists by Carl G. Looney, OXFORD Univeristy Press (1997)
   Chapter 7-6: The Pao-Park-Sobajic Random Vector FLN
   Chapter 3-10: Functional Link Net
   Chapter 4-10: Derivations for FLNs and RBFNs
   Chapter 7-6: Advances on Functional Link Nets
   Chapter 11-6: Functional Link Net Performance
http://www.oupcanada.com/catalog/9780195079203.html 		SCI 파일다운로드
1 D. Y. Suh, Augustine O. Esogbue (1994.01), Transformation of mass function and joint mass function for evidence theory, Journal of Mathematical Analysis and Applications, Vol 176, pp. 524-544, 1994;
http://dx.doi.org/10.1006/jmaa.1993.1229 		SCI


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