A Kernel Principal Component Analysis Based Least Squares Fuzzy Support Vector Machine Methodology with Variable Penalty Factors for Credit Classification

YU Lean;WANG Shouyang

Journal of System Science and Mathematical Science Chinese Series ›› 2009, Vol. 29 ›› Issue (10) : 1311-1326.

PDF(683 KB)
PDF(683 KB)
Journal of System Science and Mathematical Science Chinese Series ›› 2009, Vol. 29 ›› Issue (10) : 1311-1326. DOI: 10.12341/jssms08462
论文

A Kernel Principal Component Analysis Based Least Squares Fuzzy Support Vector Machine Methodology with Variable Penalty Factors for Credit Classification

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}. Journal of Systems Science and Mathematical Sciences, 2009, 29(10): 1311-1326 https://doi.org/10.12341/jssms08462

References

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(683 KB)

Accesses

Citation

Detail

Sections
Recommended

/