用模糊聚类算法识别时间序列的结构变换

2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA) Pub Date : 2019-11-01 DOI:10.1109/SUMMA48161.2019.8947596

M. Stepanov

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引用次数: 0

摘要

本文研究了时间序列结构变换的识别问题，并提出了一种基于模糊c均值算法的识别方法。在社会和经济领域的时间序列分析问题中，给出了结构变化识别的实例，证实了所提出方法的有效性。

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Identification of the Structural Transformations of Time Series Using Fuzzy Clustering Algorithms

The article examines the problem of identifying of the structural transformations of time series and proposes method of their identifying, based on fuzzy c-means algorithms. The examples are given on identifying of the structural transformations in the problem of time series analysis of social and economic spheres that confirm effectiveness of the method proposed.

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2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

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