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基于决策树算法的水位观测干扰识别模型

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基于决策树算法的水位观测干扰识别模型

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3083646607

基于决策树算法的水位观测干扰识别模型

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Full title

基于决策树算法的水位观测干扰识别模型

Author / Creator

尹晶飞 , 张明 , 沈钰 , 严俊峰 and 徐梦林

Publisher

Beijing: Editorial Office of Progress in Earthquake Sciences

Journal title

地震科学进展, 2019-01, Vol.49 (11), p.27

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Publisher

Beijing: Editorial Office of Progress in Earthquake Sciences

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Scope and Contents

Contents

为提高地下水位观测数据中干扰事件的识别效率，利用决策树算法对宝坻等5个台站近5年的水位观测数据进行样本训练和数据验证。结果表明，决策树算法对观测系统干扰和场地环境干扰事件的分类准确率在80%以上。在大量准确的训练样本基础上，决策树算法对于各种水位干扰事件具有良好的识别效果。

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Full title

基于决策树算法的水位观测干扰识别模型

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TN_cdi_proquest_journals_3083646607

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3083646607

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ISSN

2096-7780

DOI

10.3969/j.issn.0253-4975.2019.11.005

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