Application of neural networks in detecting hyperellipsoidal shells

M. Ch Su, I. Ch Liu

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents a novel class of neural networks which can be trained in an unsupervised manner to detect a mixture of hyperellipsoidal shells and/or segment of hyperellipsoidal shells. This approach is computationally and implementationally simpler than other clustering algorithms that have been suggested for this purpose. Experimental results are given to show the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)1779-1781
Number of pages3
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume2
StatePublished - 1998
EventProceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 2 (of 5) - San Diego, CA, USA
Duration: 11 Oct 199814 Oct 1998

Fingerprint

Dive into the research topics of 'Application of neural networks in detecting hyperellipsoidal shells'. Together they form a unique fingerprint.

Cite this