ART-C:约束下的自组织神经结构

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) Pub Date : 2002-08-07 DOI:10.1109/IJCNN.2002.1007545

Ji He, A. Tan, C. Tan

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引用次数: 37

摘要

提出了一种基于ART的神经网络架构ART- c (ART under constraints)，在识别类别表示的约束下对模式序列进行在线聚类。在两个真实数据集上的实验表明，ART-C产生了相当好的聚类质量，并且具有高效率的优势。

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ART-C: a neural architecture for self-organization under constraints

Proposes an ART-based neural architecture known as ART-C (ART under constraints) that performs online clustering of pattern sequences subject to the constraints on the recognition category representation. Experiments on two real-life data sets show that ART-C produces reasonably good clustering qualities, with the added advantage of high efficiency.

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Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

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