配置方法绑定-数据序列化。
将数据序列化为xml。
它的拟合精度与建模数据序列的光滑度有关。
Its fitting precision is related to the smooth degree of modeling data sequence.
因为在一个很长的数据序列中，最容易重复出现的就是字节。
Because that way we can find repeating bytes, the most likely thing to repeat in a long data sequence. In other words, we don't want to encode.
从这个数据序列获得回归系数，并进行检验确认。
The data with even Numbers of these series were used to obtain the regression coefficients and all data were then considered for validation.
评估从同一组对象是否可以创建不同的、定制的数据序列化。
Assesses whether different, customized data serializations can be created from the same set of objects.
该算法将使数据序列突然发生大幅度波动的数据认作例外。
The elements that cause great data series change heavily are considered exceptions.
描述被歪曲或不能理解的信号或其它数据序列的计算机用语。
A computer description of a garbled or otherwise unintelligible sequence of signals or other data.
此二法均能很好地应用于大数据序列主成分模的显著性检验。
The two methods are good to be used for the eigenvalue significance tests of large data sets.
这种模型不适合长期的、随机和波动性较大的数据序列预测。
This model is not suited to forecast the accidents in long term with randomness and great changed data.
灰色预测模型GM(1,1)主要适用于光滑数据序列的预测。
The GM (1, 1) forecast model fits in with mainly the smooth data sequence.
迭代计算时，考虑样本数据值的统计特性、数据序列间距关系。
The method takes into account the statistics of the sample data and relationship among the annotated point series.
运用一组数学规则，根据过去的数据序列来预测未来的一种预测。
Forecasting that applies a set of mathematical rules to a series of past data to predict outcomes.
参考另一个圣路易斯联邦储备银行发布的专门追踪商业银行放贷金额的数据序列。
By looking at another data series from the St. Louis Fed that tracks how much money commercial Banks have lent.
然后使用这些类加载XML数据，将其中的数据序列化为 XML。
Then you work with those classes, loading XML data into them and then serializing their data back to XML.
阐述了用随机数据点拟合出平滑的数据序列的随机激励信号生成方法。
The method to generate a stochastic excitation signal by curve fitting with random digitals is proposed.
例如，在很多情况下，仅要求在一个特定的帐户和项编号内进行数据序列化。
For example, in many cases, data serialization is required only within a specific account or item number.
详细了解YAML，这是一个针对所有编程语言的人类友好的数据序列化标准。
Learn more about YAML, a human friendly data serialization standard for all programming languages.
介绍了预测数据序列生成步骤方法，给出了仅有一次检测数据的预测计算实例。
The step and method of creating forecasting data series are also introduced, and a practical calculation example is given here which have detection data detected only once.
研究提出了原始数据序列的动态摆动指数变换方法和GPPM(1)灰色模型。
The dynamic swing index transformation method of firsthand data sequence and GPPM (1) grey model is studed and set up.
针对日均值前兆数据序列，提出一种新的前兆信息提取方法，即斜率差信息法。
A new method for precursory information extraction, i. e. slope difference information method is proposed in the paper for the daily mean value precursory data sequence.
现在，您应该很好地理解了如何将XML数据序列化成具有不同编码的不同类型的输出流。
You should now have a good understanding of how to serialize XML data into different types of output streams with different encodings.
结果表明，借助于小波分解与重构，可有效地从强噪声干扰的观测数据序列中提取变形特征。
Practical results show that, by using wavelet decomposition and reconstruction, this method can efficiently extract weak deformation characteristics from the observed data series having strong noises.
已发现的序列模式代表了数据库序列中最一般的子序列，因此可用它来确定数据序列的相似性。
The discovered sequential patterns represent the most common subsequences with the database sequences and can be used to determine their similarity.
从石油测井数据解释的实际应用需求出发，提出一种新的基于三角形中线的数据序列分段算法。
Based on analyzing the relation of data points in time series, a novel series segmenting algorithm based on triangular midline is presented.
给出了算法在高分辨率谱估计及数据序列外推中的应用实例和仿真结果，证实了该算法的优良性能。
The paper also gives out the application examples and computer simulation results that demonstrate the excellent performance of high-resolution spectral estimation and data sequences extrapolation.
马尔柯夫链适用于大样本数据序列的短期预测，而灰色系统预测方法适用于小样本数据的中期预测。
Markov Chain is suitable for short-term forecast of great capacity sample data sequence, but gray system forecast method is suitable for medium-term forecast of few capacity sample data sequence.
这些专用部分是作为附加到IOR的数据序列出现的，并且只有构建 IOR的ORB才懂得这些数据。
These proprietary parts appear as sequences of data attached to the IOR and only the ORB that built the IOR will be able to understand the data.
针对沉降数据序列的特征，研究了多项式回归方法、小波降噪方法、频谱分析法在沉降数据处理中的应用。
Probing to characters of subsidence series, we study on application of polynomial regression, wavelet denoising and frequency analysis on subsidence series processing.
然后，充分考虑观测数据和其它变量的相关关系以及数据自身依赖关系，建立了观测数据序列的混合模型。
And then the combined prediction model of the Observed data is formed, which consider the correlation of the variable with the other variable and self-dependency of the variable itself fully.
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