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基于NCL-ELM的混凝土坝变形监控模型
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作者 王霄 胡雅婷 +2 位作者 谷静 胡林生 齐春舫 《水利水电技术(中英文)》 北大核心 2022年第12期38-46,共9页
针对传统混凝土坝变形监控模型在非线性处理、外延预测精度等方面的不足,充分利用集成学习的优势,提出一种负相关学习集成极限学习机(NCL-ELM)的混凝土坝变形监控模型。此模型选用不同激活函数的ELM作为基学习器,并基于负相关学习算法... 针对传统混凝土坝变形监控模型在非线性处理、外延预测精度等方面的不足,充分利用集成学习的优势,提出一种负相关学习集成极限学习机(NCL-ELM)的混凝土坝变形监控模型。此模型选用不同激活函数的ELM作为基学习器,并基于负相关学习算法进行集成,增加ELM基学习器间的差异度,实现了集成模型预测性能的提升。以澜沧江中游河段某混凝土拱坝变形数据为例进行变形预测,结果表明:NCL-ELM模型可深入挖掘混凝土坝变形与环境量影响因子间的作用关系,对于选取的3个测点数据,模型预测性能指标均方根误差分别为0.506 mm、0.490 mm、0.430 mm,均方差分别为0.385 mm、0.445 mm、0.343 mm,预测命中率分别为90%、100%、100%;在预测精度和命中率方面均优于统计模型、ELM和M-ELM模型,同时可为变形性态的判别提供参考依据,具有良好的工程应用价值。 展开更多
关键词 混凝土坝变形预测 变形性态判别 极限学习机 集成学习 负相关学习
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Morphological comparison between a selected fast-growing strain and the common cultured strain of turbot Scophthalmus maximus 被引量:4
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作者 梁兴明 马爱军 +3 位作者 王新安 李娟 黄智慧 商晓梅 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2012年第4期563-568,共6页
To evaluate the effect of genetic improvement of the turbot Scophthalmus maximus, we analyzed morphological differences between a fast-growing strain obtained by family selection and the common cultured strain, by pri... To evaluate the effect of genetic improvement of the turbot Scophthalmus maximus, we analyzed morphological differences between a fast-growing strain obtained by family selection and the common cultured strain, by principal component analysis, stepwise discriminant analysis, and t-tests. Although they clearly differed morphologically, plots of the principal components of the two strains partially overlapped. However, the difference between the strains was supported with very high precision by discriminant analysis. The t-tests revealed that 4 of the 13 morphological traits analyzed were highly significantly different (P<0.01), 4 traits also differed significantly (P<0.05), and the remainder did not differ significantly. The coefficients of difference of the 13 traits were all lower than the threshold value between subspecies (1.28). Together, the results indicate that a trend for segregation of characters from the common cultured strain have already appeared in the selected fast-growing strain but the degree of segregation have not risen to subspecies level. 展开更多
关键词 Scophthalmus maximus divergence by selection quantitative trait analysis
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