Journal of Hebei University(Natural Science Edition) >

2006 , Vol. 26 >Issue 6: 561 - 564,581

DOI: https://doi.org/10.3969/j.issn.1000-1565.2006.06.001

The Key Theorem of Learning Theory with Fuzzy Samples Corrupted by Noise

  • HA Ming-hu ,
  • TIAN Jing ,
  • ZHOU Cai-li ,
  • LI Jun-hua
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Online published: 2006-11-25

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HA Ming-hu , TIAN Jing , ZHOU Cai-li , LI Jun-hua . The Key Theorem of Learning Theory with Fuzzy Samples Corrupted by Noise[J]. Journal of Hebei University(Natural Science Edition), 2006 , 26(6) : 561 -564,581 . DOI: 10.3969/j.issn.1000-1565.2006.06.001

References

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[2] VLADIMIR N VAPNIK. Statistical learning theory [M]. New York:A Wiley-Interseienee Publication 1998.
[3] 瓦普尼克, 张学工. 统计学习理论的本质 [M]. 北京:清华大学出版社 2000.
[4] MINGHU HA, WENGUANG TANG, YUNCHAO BAI. The key theorem of learning theory about fuzzy examples [A]. 陕西西安 2003.
[5] JING TIAN, MING HU HA. bounds on the rate of convergence of the learning processes about the fuzzy samples [A]. 北京 2005.
[6] MINGHU HA, JUNHUA LI, JIA LI. the key theorem of learning theory about examples corrupted by noise [A]. 上海 2004.
[7] RUDOLF KRUSE, KLAUS DIETER MEYER. Statistics with vague data [M]. Holland:D Reidel Publishing Company 1987.
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