基于PSO-ELM的温室梨枣树液流量模拟
基于PSO-ELM的温室梨枣树液流量模拟
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ZHANG, Nian , CUI Ningbo , ZHAO, Lu , Lu, XIAO , ZHANG Fujuan , MA Zelong and YUE Jinhua
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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】精准模拟温室梨枣树液流量。【方法】基于粒子群算法（PSO）优化的极限学习机（ELM）模型，选取了西北旱区的温室梨枣树逐日气象资料和梨枣树生理指标作为输入参数，构建了16种不同参数组合的PSO-ELM模型对梨枣树各生育期的液流量进行模拟，并与实测液流值进行对比。【结果】PSO-ELM模型能通过较少的输入参数实现梨枣树液流量的高精度模拟：全生育期液流量模拟中M2模型（输入参数为叶面积指数、平均气温、实际水汽压、平均相对湿度、净辐射和风速）、M4模型（输入参数为叶面积指数、平均气温、实际水汽压、平均相对湿度、风速和土壤含水率）及M12模型（输入参数为叶面积指数、实际水汽压和平均相对湿度）的MAE、MBE、R2、MRE及RRMSE范围分别为1.467 6~1.598 6 mm/d、-0.00...
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基于PSO-ELM的温室梨枣树液流量模拟
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TN_cdi_wanfang_journals_ggps201908001
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_wanfang_journals_ggps201908001
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ISSN
1672-3317
DOI
10.13522/j.cnki.ggps.2019012
