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ART-2及其改进方法综述*

, PP. 667-674

Keywords: 自适应谐振理论(ART),模式聚类与识别,相似度,匹配度,相位信息,幅值,重置

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Abstract:

ART-2是一种基于自适应谐振理论的自组织神经网络,广泛应用于模式聚类与识别等方面.本文介绍原始的ART-2的结构和运算过程,分析它的训练算法,探讨其固有局限性.归纳总结各主要改进ART-2的背景、目标和实现,评述它们的特征及适应场合.最后指出进一步改进ART-2的一些思路,在解决具体问题运用各方法的一些参考原则和ART-2的理论应用价值.

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