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Topology-oriented self-organizing maps: a survey

机译:面向拓扑的自组织图:一项调查

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The self-organizing map (SOM) is a prominent neural network model that has found wide application in a spectrum of domains. Accordingly, it has received widespread attention both from the communities of researchers and practitioners. As a result, several variations of the basic architecture have been devised, specifically in the early years of the SOM's evolution, which were introduced so as to address various architectural shortcomings or to explore other structures of the basic model.The overall goal of this survey is to present a comprehensive comparison of these networks, in terms of their primitive components and properties. We dichotomize these schemes as being either tree based or non-tree based.We have embarked on this venture with the hope that since the survey is comprehensive and the bibliography extensive, it will be an asset and resource for future researchers.
机译:自组织图(SOM)是一个杰出的神经网络模型,已在一系列领域中得到广泛应用。因此,它受到了研究者和从业者社区的广泛关注。因此,特别是在SOM演变的早期阶段,已设计出一些基本架构的变体,以解决各种架构缺陷或探索基本模型的其他结构。本文将就这些网络的原始组件和属性进行全面比较。我们将这些方案分为基于树的方案或基于非树的方案。我们已着手这项事业,希望由于调查内容广泛且参考书目广泛,它将成为未来研究人员的资产和资源。

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