期刊文献+

模糊学习理论的关键定理(英文)

Key Theorem of Fuzzy Learning Theory
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摘要 结合模糊集理论和模糊统计学的知识,对作为统计学习理论基础的关键定理进行推广,提出了模糊学习问题的一般表示,给出并证明了模糊学习理论的关键定理。 Fuzzy set theory and statistics with vague data are combined to generalize key theorem as the base of statistical learning theory in this thesis. Setting of the fuzzy learning problem is brought forward; Key theorem of fuzzy learning theory is given and proved.
出处 《唐山师范学院学报》 2008年第5期1-3,共3页 Journal of Tangshan Normal University
关键词 模糊风险泛函 FERM原则 关键定理 fuzzy risk functional FERM principle key theorem
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参考文献4

  • 1Vapnik Vladimir N. The Nature of Statistical Learning Theory[M]. NewYork: Springer-Verlag, 1995.
  • 2Huang Han-Pang, Liu Yi-Hung. Fuzzy support vector machines for pattern recognition and data mine[J]. International Journal of Fuzzy Systems. 2002, 4: 826-835.
  • 3Lin Chun-Fu, Wang Sheng-De. Fuzzy Support Vector Machines[J]. IEEE transaction on neural networks, 2002, 13: 464-471.
  • 4Zhou Caili. Key Theorem and Bounds on the Rate of Uniform Convergence of Fuzzy Learning Theory[D]. Baoding: College of Mathematics and Computer Science of Hebei University, 2004.

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