谢磊,刘雪芹,张建明,等.基于NGPP-SVDD的非高斯过程监控及其应用研究[J].自动化学报,2009,35(1):107-112.(Xie Lei,Liu Xue-qin,Zhang Jian-ming,et al.Non-Gaussian process monitoring based on NGPP-SVDD[J].Acta Automatica Sinica,2009,35(1):107-112.)
[2]
Vapnik V N.统计学习理论[M].北京:电子工业出版社,2004.(Vapnik V N.Statistical learning theory[M].Beijing:Electronic Industry Press,2004.)
[3]
Tax D,Duin R. Support vector data description[J].Machine Learning,2004,54(1):45-66.
[4]
Vapnik V N.The nature of statistical learning theory[M].New York:Springer-Verlag,1995.
[5]
Tax D.One-class classification[M].Delft:Delft University of Technology,2001:21-55.
[6]
Ge Z Q,Gao F,Song Z H.Batch process monitoring based on support vector data description method[J].Journal of Process Control,2011,21:949-959.
[7]
Saitoh S.Theory of reproducing kernels and its applications[M].Harlow:Longman Scientific & Technical,1998.
[8]
Asa B H,David H,Siegelmann H T,et al.Support vector clustering[J].Journal of Machine Learning Research,2001,2:125-137.
[9]
Wang X M,Chung F L,Wang S T.Theoretical analysis for solution of support vector data description[J]. Neural Networks,2011,24:360-369.