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加权函数

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In this paper, a cost function relative to residual errors is introduced, and a linear algorithm by exploiting the strategy of weighted translation transformation is presented.

通过引入与余差有关的代价函数,给出了一种高精度估计基础矩阵的线性算法??加权平移算法。

A new robust linear method——weighted normalization algorithm is developed by introducing a cost function related to residual errors.

通过引入与余差有关的代价函数,给出了一种新的鲁棒性线性算法——加权归一化算法。

A two-layer framework with particle swarms cooperative optimization and a mutation parameter is introduced by the QPSCO algorithm for larger searching scale and quicker convergence. Moreover I the residual sum of squares in least-square principle is introduced into the fitness function to enhance the fitting precision of the sensor position curve.

在QPSCO算法中,采用双层的多粒子群协同优化结构,同时引入参数变异策略,在扩大搜索范围的同时加快该算法收敛;将加权最小二乘法的误差平方和引入适应度函数中,以提高传感器位置曲线的拟合精度,从而实现传感器的优化配置。

To solve this problem, the weighting-discreteness method is introduced for speech recognition in this paper.

为了解决这一问题,本文引入了权函数及离散度的概念,提出了语音识别的加权离散度方法。

The results show that the suppositional meteorological stations can greatly improve the interpolation accuracy, and the ordinary Kriging method was the best among the three selected methods.

结果表明:模拟站点的加入大大提高了插值的精度;采用的3种插值方法中,普通克里格法比反距离加权法和径向基函数法具有更为理想的插值效果。

In the second chapter the theory of weighted residual technique is illustrated and the boundary integral function of the potential problem is deduced by it. Method of obtaining Greens function fundamental solution is presented. It also illustrates how to deal with inhomogeneous regions and the third boundary condition. At last the numerical solution of boundary integral function is presented.

第二章首先说明了加权余量法的原理,并由此推出了势问题的边界元积分方程,还介绍了无限域中格林函数的基本解的求法,以及多介质域和第三类边界条件的处理方法,最后说明了边界积分方程的数值解法。

A new strategy for universe of discourse partition and optimizing the parameters updating algorithm of fuzzy neural controller is proposed.

以流量、入口压力和出口压力偏差的平方加权和为误差代价函数,实现对大容量输油泵流量、入口压力和出口压力的协调优化控制。

Local weight regression is a kind of widely used method, which need used to be given a lot of parameters and weight function.

局部加权回归方法作为一种较常见的基因芯片数据标准化方法步及到众多的参数和权函数。

We obtain the eigenfunction through inverse transform,and select appropriate threshold to extract iso-surface.We append the weighted coefficients on sampling density for non-uniform sampling to further compute rational thresholds.

调用快速傅立叶变换FFTW(The Fastest Fourier Transform in the West)软件包,根据点的位置和法向量计算傅立叶系数,通过逆变换求出特征函数,选择合适的阈值提取表面的等值面,对于非均匀采样通过采样密度的加权系数进一步计算合理的阈值。

A matching graph of class-buck and class-stack is obtained by a simplifying rule to guarantee the correctness of curriculum schedule. Employing the matching graph as the initial solution, Tabu search is introduced, the index of which is the weighted summation of the principle of categoricalness, rationality, and humanization.

在此基础上,引入禁忌搜索算法,以排课的完备性原则、合理性原则和人性化原则的加权和为目标函数,以随机二维权值矩阵生成的匹配偶图为初始解,对二维权值矩阵进行扰动构成搜索邻域,以生成的匹配偶图为禁忌对象,采用全局藐视准则,获得最优的排课方案。

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