• 最小二乘我会更多了解

    Pls I will like to know more about you.

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  • 利用最小二乘估计甲板变形进行了分析

    The least squares estimation was applied to the analysis of deck deformation.

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  • 本文阐述了两类不同概念递推最小二乘估计

    In this paper, Two Different Concepts for the Recursion of Least Square Estimation is Introduced.

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  • 加权最小二乘回归

    Weighted least squares regression.

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  • 最小二乘回归模型选择技术包括逐步回归。

    Least squares regression with nine model selection techniques, including stepwise regression.

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  • 本文考虑FIR滤波器约束最小二乘设计问题。

    Constrained least-squares design of two-dimensional FIR filters is considered in this paper.

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  • 通过加权最小二乘估计来有效地利用系统冗余信息

    It also makes use of systems redundant information effectively by weighted least squares estimators.

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  • 该文给出了信号极点估计非线性最小二乘求解方法

    In this paper the nonlinear least squares solution for signal-pole estimation is offered.

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  • 测定混合成本行为模式准确方法最小二乘回归

    The most accurate method to determine the behavior pattern of a mixed cost is least-squares regression.

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  • 对在图像匹配广泛使用最小算法进行了改进

    Improvement was made on least squares matching algorithm which is widely used in image matching.

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  • 介绍了最小二支持向量计算法滑动时间建立

    The establishment of beast square support vector machine method and sliding time window is introduced.

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  • 通过多元线性最小二乘回归,得到射流深度关联式。

    The regression of the experimental data yields the correlation of jet penetration depth.

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  • 运用基于最小二乘方法实现了一种自动初始校准算法。

    The automatic initial calibration of triaxial accelerometers and triaxial magnetic sensor, based on least squares method, is implemented.

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  • 提出一种最小二乘支持向量电池剩余电量预测模型

    A novel prediction model for remaining capacity of batteries based on least square support vector machine (LS-SVM) was proposed.

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  • 本文提出了一种基于最小拟合轮对轮缘在线检测系统

    This paper proposes an online detection system of flange based on Least Square Collocation (LSC).

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  • 采用最小二乘辨识方法,得到感应同步器测角误差模型系数

    The parameters of error model were identified by the least square method.

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  • 模拟结果表明加权最小估计最小二乘估计优良性质

    Simulation results show that the weighted least squares estimate has better properties than the least squares estimate.

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  • 各种参数估值方法比较表明时间最小二乘合法较为精确

    The comparison among various methods of parameter estimation shows that the least-squares fitting method in the time domain is more accurate one.

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  • 应用最小二乘原理,对频率温度变化了定量的分析研究

    The changes of frequency with the temperature are analyzed and studied by applying the least square principle.

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  • 提出一种基于最小二乘多变量系统阶跃响应模型辨识方法

    A model identification method on multivariate system step response based on least Square is given out.

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  • 在该系统中给出一种基于最小二乘原理的弹翼轮廓误差评价方法

    An profile evaluating method based on least square principle is described.

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  • 最小二乘回归神经网络耦合,建立城市生活用水量预测模型

    The paper establishes the model for the urban life-water quantity prediction by means of combining neural network with the partial least squares method.

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  • 比较5我们展示结果展开获得了使用加权最小二乘算法

    For a comparison, in Figure 5 we show the results of the unwrapping obtained using an unweighted least squares algorithm.

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  • 本文阐述了轴线直线误差最小二乘评定最小条件评定法数学模型

    The mathematical models of axis straightness errors by Least Square evaluation and minimum condition are discussed in this paper.

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  • 其它迭代最小二乘相比,具有较小的稳态误差良好动态跟踪能力

    Compared with other RLS algorithms, it has smaller steady-state error and better ability of tracking dynamical parameters.

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  • 最小二乘原理,建立球面坐标系下的法方程组及其系数矩阵具体形式

    Acoording to the least square principle the normal equations and its coefficient matrix are performed.

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  • 根据最小二乘原理回归模型设计出消除噪声适应滤波器消除图像噪声。

    An adaptive filter is designed in the paper to remove the noise of an image in terms of the principle of least squares and regression model.

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  • 文章讨论如何根据最小二乘原理回归模型设计出自适应滤波器用于消除图像噪声

    This paper discusses how to design an adaptive filter to remove the noise of an image in terms of the principle of least squares and regression model.

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  • 提出种基于最小二乘支持向量(LS - SVM)铁路客运量预测方法

    A new prediction approach for railway passenger volume is put forward by means of Least Squares Support Vector Machine (LS-SVM).

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  • 提出种基于最小二乘支持向量(LS - SVM)铁路客运量预测方法

    A new prediction approach for railway passenger volume is put forward by means of Least Squares Support Vector Machine (LS-SVM).

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