用于高维在线可能性模糊聚类的级联深度神经模糊系统

2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT) Pub Date : 2016-09-01 DOI:10.1109/STC-CSIT.2016.7589884

Zhengbing Hu, Yevgeniy V. Bodyanskiy, O. Tyshchenko

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引用次数: 20

摘要

提出了一种基于神经模糊节点的级联深度学习系统及其在线学习过程。该系统基于一种特殊类型的节点。一种特殊类型的目标函数用于可能性高维模糊聚类。为了估计数据处理的聚类质量，使用了聚类有效性指标的最优值。

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A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering

A cascade deep learning system (based on neuro-fuzzy nodes) and its online learning procedure are proposed in this paper. The system is based on nodes of a special type. A goal function of a special type is used for possibilistic high-dimensional fuzzy clustering. To estimate a clustering quality of data processing, an optimal value of a cluster validity index is used.

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来源期刊

2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)

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