在讨论神经网络方法的基础上，尝试将其应用于动态测量误差分解理论。
Neural network method is discussed and applied to error decomposition theory of dynamic measurement.
动态误差分解与溯源是误差理论及精度理论的逆向问题，在动态测量及动态测试系统的设计中具有十分重要的意义。
This theory is the converse issue of error and precision theory, which has very important practical meaning in dynamic measuring and the design of dynamic measuring system.
通过建立向量误差修正模型并借助脉冲响应分析和方差分解，重点对中国近年来住房价格上涨中的金融因素进行分析。
With Vector Error Correction Model, impulse response analysis and variance decomposition, this paper analyzes the finance factors that cause the prompt rise of house price in China.
本文通过对被控对象模型的传递函数并行结构分解，引入多重输出误差反馈，并根据内模结构来设计系统控制器。
In this paper, multiple output error feedbacks are introduced via the parallel decomposition of the plant transfer function in the internal model control system.
通过对受控对象模型的并行结构分解，引入多重输出误差反馈，构成了一种新的内模控制结构。
A novel internal model control structure with multiple output error feedbacks is proposed in this paper, by means of multi model decomposition technique.
通过解析解与没有修正的差分解进行对比，结果表明，没有修正的截断误差是不能忽略的。
The comparison between analytical solution and uncorrected solution shows that uncorrected truncation errors can not be ignored.
基于转换测量误差协方差矩阵的特征值分解，给出了转换位置测量的时间渐近特性。
Based on the eigenvalue decomposition of the converted measurement error covariance matrix, asymptotic behavior was given about the converted position measurement error.
采用矩阵的奇异值分解原理，对曲面最佳适配的灵敏度矩阵进行分解，得到不确定度参数与测点随机误差的关系表达式。
The sensitivity matrix was then decomposed by singular value decomposition (SVD) method, and the relationship between the surface geometric errors and the uncertainty parameters was formulated.
首先，对样本指数基金的跟踪误差方差进行分解，分析其历史风险水平；然后，引入压力测试，预测样本指数基金未来的风险水平。
At first, we analyze sample index funds' historical risk levels as well as their risk structure by means of decomposition of tracking error variance.
在此基础上建立了描述上海城市竞争力短期动态变化的误差修正模型，并进行了预测方差分解。
Subsequently it establishes error correction models to describe short-term dynamic change and carries on forecast variance decomposition.
另外，为了克服递推最小二乘出现的误差积累、传递现象，采用基于矩阵ud分解的递推最小二乘方法确定模糊模型的结论参数，从而实现模糊模型的结构和参数优化。
In addition, the recursive least square based on matrix UD decomposition is used to confirm the conclusion parameters of fuzzy model for the sake of accumulating and transferring o.
第六章介绍了ETF指数基金之跟踪误差预测和分解。
In Chapter 6, we give an introduction to ETF. It is about its index of error of foresee and decomposition.
另外，通过局域波分析可把复杂的实测数据分解成有限个基本模式分量，从而简化信号分析过程，降低信号分析误差。
In addition, complicated tested data are decomposed into several intrinsic mode functions by this way, which low analyzing error, and predigest processing.
系统仿真运行试验表明，控制器运行稳定，分解炉温度相对误差低于1.4%，控制效果良好。
Through system dynamic simulation, a result of stable running status and all right control effect is obtained. The relative error of NSP temperature is below 1.4%.
火控系统射击(函数)误差可分解为射弹散布函数误差和火控射击准备函数误差。
Fire error of fire control system includes shot diffused function error and fire preparative function error.
基于特征值分解的DOA估计算法对信号的相位误差非常敏感，因此有必要对阵元位置误差进行校正。
DOA estimation algorithm based on eigenvalue decomposition is very sensitive to phase error of array signal.
优化因式分解，以减少取整误差的引入。
Two methods area optimizing factorization to decrease the error of rounding operations.
具体的实证方法是采用VAR方法，在得出协整方程下，再进一步采用误差修正、脉冲响应、方差分解等技术来探讨汇率的动态变化过程。
It adopts the var method to get the co-integrated equation, and discusses the dynamic process with the techniques such as VECM, impulse response and variance decomposition.
基本思想是对于预测 误差图像信号的分解，不再采用传统的晶格DCT变换，而是选择采用一个拥有更多基函数的冗 余字典集合。
The main idea lies in decomposing the difference frame of prediction in a redundant dictionary with much more basis functions, giving up traditional lattice DCT transform.
热源周围水合物热分解最大范围的理论值与实验值接近，误差小于5%。
The theoretical results of the maximum dissociation scope are in agreement with those of experiments, with errors less than 5%.
第2部分解释adc和DAC如何通过量子化误差、偏移误差和其它DC误差产生噪声。
Part 2 explains how ADCs and DACs introduce noise through quantization errors, offset errors, and other "DC" errors.
本文采用协整、向量误差模型以及脉冲响应和方差分解的方法对中国货币供应、物价水平与经济增长的关系进行实证研究。
This paper uses cointegation, VEC model and impulse response methods to research the relationship among money supply, price and economic growth.
本文采用协整、向量误差模型以及脉冲响应和方差分解的方法对中国货币供应、物价水平与经济增长的关系进行实证研究。
This paper uses cointegation, VEC model and impulse response methods to research the relationship among money supply, price and economic growth.
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