Skip to main content
Article
A Multiple Hyper-ellipsoidal Subclass Model for an Evolutionary Classifier
Pattern Recognition
  • Qiuming Zhu, University of Nebraska at Omaha
  • Yao Cai, University of Nebraska at Omaha
  • Luzheng Liu, University of Nebraska at Omaha
Document Type
Article
Publication Date
3-1-2001
Disciplines
Abstract
A pattern classification scheme in which the classifier is able to grow and evolve during the operation process is presented. The evolutionary property of the classifier is made possible by modeling the pattern vectors in multiple hyper-ellipsoidal subclass distributions. Learning of the classifier takes place at the subclass levels only. This property allows the classifier to retain its previously learned patterns while accepting and learning new pattern classes. The classifier is suitable to operate in dynamical environments where continuous updating of the pattern class distributions is needed.
Citation Information
Qiuming Zhu, Yao Cai and Luzheng Liu. "A Multiple Hyper-ellipsoidal Subclass Model for an Evolutionary Classifier" Pattern Recognition Vol. 34 Iss. 3 (2001) p. 547 - 560
Available at: http://works.bepress.com/qiuming-zhu/26/