sample data的例句大全

correlation coefficient pearson product moment correlation coefficient: sample data

皮尔逊积矩相关系数：样本数据

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The key is how to use the sample data and mathematical model.

我认为这种现象有利也有弊,关键是如何利用好数学方法和样本数据.

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Under the original sample data that came from the finite element analysis, selected the Differential Evolution Algorithm for optimization of structure parameters, got the optimized structure parameters, and re-created finite element model for verifying.

基于有限元分析得到的样本数据，选择差分进化算法对结构参数进行优化，得到直流无刷电机的最优化结构参数，并重新进行有限元建模验证。

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the results show that with the same fem sample data, evolutionary neural networks can get more accurate mapping model than traditional bp neural network through self-adaptive adjustment grid structure and weight value.

算例表明，在相同（有限元）样本数据的情况下，进化神经网络通过自适应调节网络结构和权值，可获得比BP神经网络更高精度的映射模型，具有很强的泛化能力。

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Based on the sample data, establish fuzzy model.

基于样本数据建立模糊模型。

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For small sample data, we applied a method called data inflation.

小样本情况下, 采用数据膨胀方法.

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the existence of noisy data and features makes the labels of the sample data uncertain in binary classification.

在实际的二分类问题中，由于噪声点或者噪声特征的存在使得样本的标签会出现不确定的情况。

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design-time data allows the use of dummy content, such as sample database records or bitmap images, without having to actually connect to a back-end system.

设计时数据允许使用模拟的内容，如示例数据库记录或位图图像，而不必实际连接到后端系统。

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furthermore, the present method of financial distress prediction is still in the static modeling stage, sample data collected in a specific period of expansion, but corporate financial data will incrementally change by the time passage.

再者，当前的财务困境预测研究方法尚处于静态建模阶段，样本数据收集于特定的扩展期，而企业财务数据信息具有随时间推移动态增量变化的特点。

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in this paper, distribution fitting method is put forward to improve the estimation of value at risk. distribution fitting method can find a statistical distribution function that best fits the sample data and overcome the shortcomings of normal distribution assumption in analytic method of var.

本文提出分布拟合法来估计金融市场风险的VaR，分布拟合法通过求取与样本数据最佳拟合的统计分布函数，克服了传统分析方法在估计VaR时所要求的正态分布假设的缺陷。

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linear operations on the sample data

样本数据线性运算

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This section use the sample data, using regression analysis to build models for empirical analysis.

本部分利用样本数据，采用回归分析法，构建模型进行实证分析。

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First, from sample data, we could determine the optimal rules using FGP, thereby determine the structure of neural network.

该方法首先从样本数据中采用模糊网格划分确定出最佳规则数，从而可确定神经网络的结构；

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The multidimensional data model of the sample database is designed as star schema. The ETL tool is implemented curtly and the tool is independence on structure in order to make the multidimensional query analysis be independent of data source, thereby, the expansibility of system is enhanced.

以星型模式设计了实例数据库的多维数据模型，并简单地实现了数据的提取与转换工具，该工具独立于查询分析系统，使得查询分析与数据来源无关，增强了系统的可扩展性。

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SVM is a learning machine for small sample data with strong extensive use and no over learning problem because of the structure risk minimization.

支持向量机是一种专门针对小样本的学习机器，由于以结构风险最小化原则为基础，克服了神经网络中的过学习等缺点，具有很强的泛化能力。

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the target track correlation of radar is a multi-classification problem, and it is difficult to obtain prior knowledge and sample data in advance. in term of observing time sequence, this problem can be divided into several dyadic problems.

雷达的目标航迹关联是一个多元分类问题，且难于事先获取先验知识和样本数据，从观测时序的角度，将该问题分解成若干二元分类问题。

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A large volume of unclassified sample data content ( specifically for this scenario, short messages from phones)

大量未分类的示例数据内容（对此场景来说，就是手机短信）

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It is shown from the analysis results of subbottom profiler, side scan sonar and bottom sample data that the northern Liaodong Bay shallow water area has advantageous nearshore and shallow water conditions and complex marine engineering geology characteristics.

通过对浅地层剖面仪、侧扫声纳和海底取样等实测资料的详细分析，揭示了辽东湾北部浅海区的自然地质状况和复杂的海洋工程地质特征。

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Mathematic method and model were adopted to analyze the sample data and deeply explore the vegetation quantity of Syringa oblata in Harbin, and a quantitative method was put forward.

采用生态学、生理学、统计数学和模型构建等方法对紫丁香样本数据进行分析，深入研究紫丁香绿量的内涵，探索出了哈尔滨市紫丁香绿量的量化方法。

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The method needs many sample data and obtains lower precision.

该方法要求有大量样本数据的情况,并且估计精度较差.

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