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pre-estimation的中文,翻译,解释,例句

pre-estimation

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Combined GIS with MATLAB, the automatic extraction of RS and geography information of sample plots was realized.5. Introduced the resist-PCA estimation method to build the estimation formula on crown density, stock volume and diameter breast height, good forecast accuracy was achieved and the deficiency of traditional LMS parameter estimation was made up.6. The estimation process software of the model was developed, including data pretreatment, weight function selection, LMS estimation, PCS estimation, resist-PCA estimation, accuracy assessment and other function models, in order to c

摘要4、结合Gls和MATLAB技术实现对样地遥感信息和地理环境信息的自动提取。5、引入抗差主成分估计方法建立郁闭度、蓄积量、胸径的估测方程,取得了良好的估测精度,弥补了传统最小二乘参数估计的不足。6、开发了模型估测处理软件,包括数据预处理、权函数选择,LS估计,主成分估计、抗差主成分估计、精度评价等模块,实现数据处理、模型研建与精度评价的自动化、一体化。

When aborted rats were injected with 10 IU/g IFN-γin group D, compared with group A, expression of TNF-αinmmuopositive substance in the nucleus pre-opticus medialis, nucleus supra-opticus, nucleus pre-opticus mango celluaris, nucleus periventricularis hypothalami, nucleus paraventricularis hypothalami, nucleus arcuatus hypothalami were highly increased, conversely, the ones in the nucleus pre-opticus suprachiasmaticus, neurohypophsis, adenohypophysis, ovary were obviously decreased, the change in the uterus was not remarkable; Compared with group B, expression of TNF-αin the arcuatus hypothalami was obviously enhanced, while in the nucleus pre-opticus suprachiasmaticus, nucleus pre-opticus mango celluaris, nucleus periventricularis hypothalami, nucleus paraventricularis hypothalami, nucleus ventromedialis hypothalami, nucleus dorsomedialis hypothalami, neurohypophsis, pars intermedia, ovary, the results were on the contrary, the uterus had no significantly variation; Compared with group C, expression of TNF-αin the nucleus pre-opticus medialis, nucleus supra-opticus, nucleus paraventricularis hypothalami, nucleus arcuatus hypothalami, adenohypophysis and pars intermedia had an obviously risen trend, however, the variation in the nucleus pre-opticus suprachiasmaticus, nucleus periventricularis hypothalami, neurohypophsis, pars intermedia, follicle and corpus luteum was completely opposite, uterus had no obviously change.

外源腹腔注射10 IU/g IFN-γ后,同A组相比:D组TNF-α免疫阳性产物在下丘脑视前内侧核、视上核、视前大细胞核、室周核、室旁核、弓状核显著增高,在视交叉上核显著降低,在其它核团较A组无显著差异,在神经垂体、垂体前叶、卵巢中阳性产物表达均较A组显著降低,在子宫中的表达较A组变化不明显;同B组相比:D组TNF-α免疫阳性产物在弓状核显著增高,在视交叉上核、视前大细胞核、室周核、室旁核、腹内侧核、背内侧核、神经垂体、垂体中间部、卵巢各部阳性物质表达均显著降低,在子宫表达变化不显著;同C组相比:D组下丘脑视前内侧核、视上核、室旁核、弓状核、垂体前叶与中间部均显著增高,在视交叉上核、室周核、神经垂体、卵泡、黄体中均显著降低,子宫中表达变化不明显。

The measurement system error model analysis is introduced into power system real time network state analysis as an important part for the first time, which can improve on the state estimation quality and provide the capability to monitor the operation of the measurement system; 2. The theory and algorithm of the on-line estimation and update of measurement noise variance based on the relation between the residual variance and noise variance. The statistic properties of the sample variance are discussed and the relation between the estimation precision and sample size under given confidence level is derived; 3. The theory and algorithm of detection and identification of measurement bias are presented, which is based on the relation between residual mean and noise mean. The statistic properties of sample mean are discussed and the relation between estimation precision and sample size is derived; 4. The Givens orthogonal transformation algorithm is selected to be the essential algorithm of state estimation, the fast orthogonal transformation algorithm with damp factor and the algorithm which can handle the zero injection measurements efficiently are presented; 5. The quantity analysis theory of bad data detectivity and identifibility are presented, which describes the relation between the elements in matrix W〓 and bad data amplitude and can provide the theory base for measurement system design and valuation.

一、首次将量测系统误差模型分析做为一个环节引入电力系统实时网络状态分析中,为EMS系统增加了实时监视系统运行、修正量测系统误差模型的新功能,进一步发挥了实时网络状态分析应用软件的潜力;二、首次提出了应用样本方差在线估计与修正量测系统误差方差的基本理论,讨论了样本方差的统计性质和概率分布,推导出了样本容量、估计精度和置信度之间的关系,给出了在线估计与修正量测系统误差方差的算法;三、首次提出了应用样本均值在线检测与辨识量测偏差的基本理论,讨论了样本均值的统计性质,推导了样本容量、估计精度和置信度之间的基本关系,给出了在线检测与辨识量测偏差的算法;四、在状态估计算法设计中,以Givens变换算法做为基本算法,提出了快速正交变换阻尼因子法和可以有效地处理零注入量测的混合法,并对实时应用中的一些问题进行了讨论;五、提出了不良数据可检测性与可辨识性的定量分析理论,揭示了描述量测系统配置、网络结构与参数的残差灵敏度矩阵中的元素与不良数据的幅值在可检测、可辨识能力上的定量关系,为量测系统配置设计与评价提供了理论基础;六、综合国内外最新研究成果,采用自适应自回归预测技术和稀疏矢量技术,构造了较完善的不良数据检测与辨识算法。

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