机动车有害排放物对大气污染过程的区间离散模型结构识别任务中结构元的形成方法

2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2019-09-01 DOI:10.1109/STC-CSIT.2019.8929802

M. Dyvak, Natalia Porplytsya, Y. Maslyiak

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引用次数: 3

摘要

本文研究了一种基于蜂群行为模型的区间离散动态模型结构辨识方法。结果表明，为了提高算法的效率，可以对以区间形式得到的输入数据进行预处理。为此，建议使用“山”聚类方法。

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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A method of formation of structural elements in the task of structural identification of interval discrete models of the atmosphere pollution processes by harmful emissions of motor vehicles

The method of structural identification of interval discrete dynamic models based on a behavioral models of a bee colony is considered in the paper. It is shown that in order to increase its efficiency, it is expedient to pre-process the input data obtained in an interval form. It is proposed to use the “mountain” clustering method for this purpose.

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来源期刊

2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)

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