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least squares相关的网络例句

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与 least squares 相关的网络例句 [注:此内容来源于网络,仅供参考]

Based on special construction of the design matrix, some interesting relations of variance matrices of the least squares estimate, the best linear unbiased estimate and the TSE are established, and some important properties of the TSE are obtained.

利用模型设计阵的特殊结构,建立了最小二乘估计、最佳线性无偏估计和两步估计的协方差阵的很有用的分解式。

Through profound study of coupling relationship between gyroscope scale factor and its input axis misalignment,an uncouple principle was proposed,a precise mathematic model was established,and a set of uncouple test equipment and experiment were designed;the methods for solving constraint nonlinear Least-Squares problems were applied...

通过研究陀螺标度因数与输入轴失准角之间的耦合关系,提出了解耦测试原理,建立了严格的数学模型,针对该原理设计了解耦测试设备和方法;应用有约束多元非线性最小二乘问题解法实现了解耦解算。

The calculation of controlling unstable equilibrium point of a post fault power system is transformed to nonlinear least squares issue. The Jacobi matrix, Hessian matrix and the residue formula are derived. It is found that the residue is changed in the calculating process, so it is appropriate to use the switch method to solve the problem.

将计算电力系统故障后的主导不稳定平衡点的问题转化为最小二乘问题,推导了计算所需要的雅可比矩阵、海山阵以及计算过程的残量公式,发现残量随著计算过程而变化,因此该问题适合于采用开关算法。

To solve the small-sample problem in the hydroelectric generating unit,SVM is introduced,and a new diagnosis model of least squares support vector machines based on wavelet decomposition with energy extraction is proposed in this paper.

0引言近年来,水电装机容量在电力系统中所占比重越来越大,水电机组的可靠性和安全性对电力系统稳定可靠运行的影响日益加强。水电机组故障诊断也成为工程应用界广泛关注的热点问题。

Based on the traditional least squares support vector machine for function estimation, an improved algorithm of LS-SVM is presented in this paper.

对标准的LS-SVM算法进行了改进,得到一种新的学习算法。

For a robust least squares support vector machine function.

一个用于鲁棒最小二乘支持向量机的函数。

Applied a novel machine learning algorithm-least squares support vector machines into coal washery daily water consumption times series prediction.

针对选煤厂日用水量时间序列的预测问题,提出应用最小二乘支持向量机这一新的机器学习方法来实现日用水量的短期预测。

Based on the previous study, a least-squares approach has been proposed for the optimal model-image fitting. The principle of this method is to minimize the distance between image edge pixels and the projected wire frame by adjusting the model parameters. This method is feasible in most cases.

周宏达[2001]利用影像萃取点至模型投影边线的距离为观测函式,提出一套最小二乘法进行模型与影像套合的理论,提供一个模型与影像套合最佳化的方法。

A new identification procedure for the nonlinear systems which can be described by Wiener-Hammerstein models is proposed by using correlation, multidimentional z transform, deconvolution and a simple least squares algorithm.

本文综合应用相关分析法、多维z变换、解卷积和最小二乘法提出了一种新的辨识具有维纳-哈默斯坦模型结构非线性系统的方法。

It is difficult to control a single inverted pendulum system because of the characteristics of multi-variable, nonlinear and absolutely instability of the system. A controller based on adaptative neuro-fuzzy inference system is designed by using Matlab/Simulink software in the paper. For the sampling data the hybrid algorithm of back propagation algorithm and least squares algorithm is applied in the paper. Thus the parameters of membership function are adjusted and all of the fuzzy rules are generated automatically.

摘 要:针对单级倒立摆系统具有多变量、非线性、绝对不稳定的特点,本文应用Matlab/Simulink 设计了用于倒立摆系统的基于自适应神经模糊推理系统的ANFIS控制器,采用反向传播算法和最小二乘算法的混合算法对倒立摆控制样本数据进行学习,调整各变量的隶属度函数,自动产生模糊规则。

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