基于循环估计模型参数的改进逐次搜索GMDH算法

2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2019-09-01 DOI:10.1109/STC-CSIT.2019.8929866

S. Yefimenko, V. Stepashko

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引用次数: 1

摘要

本文提出了一种连续搜索算法MULTI- r GMDH，它是对已知算法MULTI的改进和修正。这个新版本与原来的算法不同，它使用了一个循环的参数估计过程，并对模型结构进行了优化。针对几种测试任务，给出了该算法的处理速度和结构精度的数值特征。

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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Revised Successive Search GMDH Algorithm with Recurrent Estimating Model Parameters

The paper presents a successive search algorithm MULTI-R GMDH being an improved and revised version of the known algorithm MULTI. This new version differs from the original algorithm by using a recurrent procedure of parameters estimation and additional optimizing the model structure. The numerical characteristics of the processing speed and structural accuracy of this algorithm are given for several test tasks.

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

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