Application to microbiological fermentation fault diagnosis for relevance vector machine

IEEE Conference on Control Applications - Proceedings

Volumn 2, Issue , 2003, Pages 1395-1397

  Sun, Zonghai ^a   Sun, Youxian ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Fault diagnosis; Microbiological fermentation; Relevance vector machine

Indexed keywords

CARBON DIOXIDE; CHEMICAL SENSORS; DATA STRUCTURES; FERMENTATION; LEARNING SYSTEMS; PARAMETER ESTIMATION; STATISTICAL METHODS;

FAULT DIAGNOSIS; MICROBIOLOGICAL FERMENTATION; RELEVANCE VECTOR MACHINE;

FAILURE ANALYSIS;

EID: 0345357912     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Suqing Wang. Biochemical reaction process modeling and computer control. Zhejiang University Press, Hangzhou, 1998.
2. Donghua Zhou, Yinzhong Ye. Modern fault diagnosis and fault tolerant control. Tsinghua University Press, Beijing, 2000.
3. Michael E. Tipping. Sparse bayesian learning and the relevance vector machine, Journal of Machine learning research, no. 1, pp.211-244,2001.
4. Michael E. Tipping. The relevance vector machine. In Sara A Solla, Todd K Leen, and Klaus-robert Müller, editors, Advances in Neural Information Proceeding systems Cambreidge, Mass: MIT Press, 2000.
5. V. N. Vapnik. Statistical learning theory. Wiley, New York, 1998.