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基于极限学习机回归的海水Chla浓度预测方法

DOI: 10.13634/j.cnki.mes20150119, PP. 107-112

Keywords: Chl,a浓度,极限学习机回归,预测模型,灰色关联分析,软测量

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Abstract:

有效监测海水Chla浓度状况对近海赤潮等海洋灾害的预警预报有着重要意义.运用灰色关联分析法确定预测模型的输入变量,可有效降低预测模型系统维数.采用极限学习机回归方法建立海水Chla浓度预测模型,通过与广义回归神经网络、支持向量机回归二种模型的预测效果进行对比,表明极限学习机回归预测模型具有较好的预测精度、预测效率和泛化能力,能够实现针对研究水域环境下Chla浓度的有效预测.

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