基于竞争神经网络的分层分类

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI:10.1109/ICNC.2012.6234573

Helyane Bronoski Borges, J. C. Nievola

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引用次数: 28

摘要

分层分类是一个在许多领域都有应用的问题。因此，它使得算法的发展能够归纳出层次分类模型。本文提出了一种基于全局方法的分层分类算法，称为基于竞争神经网络的分层分类(HC-CNN)。在生物信息学领域的一些数据集上进行了测试，结果令人满意。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Hierarchical classification using a Competitive Neural Network

Hierarchical classification is a problem with application in many areas. Therefore, it makes the development of algorithms able to induce hierarchical classification models. This paper presents an algorithm for hierarchical classification using the global approach, called Hierarchical Classification using a Competitive Neural Network (HC-CNN). It was tested on some datasets from the bioinformatics field and the results are promising.

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2012 8th International Conference on Natural Computation

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