Application of neural networks in detecting hyperellipsoidal shells

M. Ch Su; I. Ch Liu

Application of neural networks in detecting hyperellipsoidal shells

資訊工程學系

研究成果: 雜誌貢獻 › 會議論文 › 同行評審

摘要

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.

原文	???core.languages.en_GB???
頁（從 - 到）	1779-1781
頁數	3
期刊	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
卷	2
出版狀態	已出版 - 1998
事件	Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 2 (of 5) - San Diego, CA, USA 持續時間: 11 10月 1998 → 14 10月 1998

引用此

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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.",

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AU - Su, M. Ch

AU - Liu, I. Ch

PY - 1998

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N2 - 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.

AB - 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.

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M3 - 會議論文

AN - SCOPUS:0032311984

SN - 0884-3627

VL - 2

SP - 1779

EP - 1781

JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

T2 - Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 2 (of 5)

Y2 - 11 October 1998 through 14 October 1998

ER -

Application of neural networks in detecting hyperellipsoidal shells

摘要

指紋

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