基于灰色关联法的月降雨量预测
基于灰色关联法的月降雨量预测
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SUN, Xiaoting , REN Ganghong , DU, Kun , FENG, Yan and ZHOU, Ming
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Xinxiang City: Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage
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Xinxiang City: Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage
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【目的】提高降雨量预测精度,为农业、水利等相关部门提供决策依据。【方法】鉴于月降雨量时间序列具有显著的多尺度特征,开展了数据驱动下基于模型融合的月降雨量预测研究,应用灰色EGM(1,1)模型和自适应模糊神经网络系统(ANFIS)分别预测了年尺度与月尺度下的月降雨量,采用灰色关联法将2个预测结果进行数据融合。利用澳大利亚维多利亚8个站点降雨数据验证所提出方法,并将预测结果进行了与单一灰色EGM(1,1)、ANFIS、人工神经网络(ANN)、自回归积分滑动平均模型(ARIMA)与聚类回归法(CLR)模型预测结果对比。【结果】模型融合预测结果精度高于单一EGM(1,1)、ANFIS、ANN及ARIMA模型预测结果,并在8个站点中的5个取得了最佳预测效果,其中中部地区(Ballarat和Cape O...
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基于灰色关联法的月降雨量预测
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TN_cdi_wanfang_journals_ggps201901015
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_wanfang_journals_ggps201901015
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ISSN
1672-3317
DOI
10.13522/j.cnki.ggps.20180198