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method of approximation相关的网络例句

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The new method is based on combining perturbation method of eigen-problems with rational approximation of a vector-value function.

提出了一种新的结合特征灵敏度直接法和向量值函数有理逼近的结构动力重分析方法。

A series of Gaussian digital approximation filters used in roundness measurement were designed on the basis of approximation method and bilinear transformation.

文中用逼近法和双线性变换法,设计了用于圆度测量的高斯数字逼近滤波器,并给出了零相移的递归滤波算法,计算量小,计算效率高,易于实现。

The traditional method of design is given by the design requirements of the selected approximation method, the manual calculation of the order of N filter or check the design of the corresponding chart (for example, Chebyshev design chart) determine the order of N; search function transfer table ( Butterworth transfer function, such as tables, Chebyshev transfer function table) to determine the transfer function.

传统的设计方法是由给定的设计要求选用相应的逼近方法,手动计算滤波器的阶数N或查相应的设计图表确定阶数N;查转移函数表(如巴特沃思转移函数表,切比雪夫转移函数表)来确定转移函数。

The continued fraction approximation is developed in reliability analysis for slope stability, the features of this method are rapid speed of calculation, simple and direct, high precision and effectively combin ing method of fixed value with probabilistic method on stability analysis for slope.

在斜坡的可靠性分析中,引入了函数连分式渐近法,其特点是计算速度快、简捷、精度高,有效地将斜坡稳定性评价的定值方法和概率方法有机地相结合。

A decision model of distribution network's echelons is present, which integrates approximating method of total distance in continuous approximation model and quantifying method of 'bullwhip effect' in supply chain.

权衡此多项费用,结合客户需求方差在供应链上的传播方式和连续近似模型中关于总路程的近似算法,建立了分销网络结构层次的决策模型。

Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一,然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点,因此,本研究提出一个梯度预测搜寻法则(gradient forecasting search method, GFSM)来改善传统梯度法的缺点,用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性;而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素,传统统计为基础之预测方法的缺点是需要较大量的数据进行预测,因此计算复杂度高,灰色预测模型具有建模资料少且计算复杂度低等优点,然而灰色预测理论以连续之微分方程式为基础,并且透过一些数学上的假设与近似,将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测,这样的作法不尽合理,且缺乏数学理论上的完备性,因为在转换过程中已经造成建模上的误差,且建模过程仅考虑相邻的两个资料点关系,无法正确反应数列未来的变化趋势。

The discrete least- squares approximation method is proposed to determine the edge of the die first, then to estimate its centroid after the image processing.

而本影像识别之方法采用离散最小平方法逼近 discrete least-squares approximation 晶粒边缘,用以求得晶粒形心与摆向方位角度。

Ii A new class of fuzzy two-stage minimum-risk model is proposed. The approximation of credibility function and the convergence of approximation method are discussed.

建立一类新的模糊两阶段最小风险模型,讨论可信性函数的逼近方法及其收敛性。

In this paper,a rational approximation method of the norm of parametric speed is given,which is more effective than the polynomial approximation.

文章根据等距曲线逼近的关键在于对其参数速度模的逼近,提出了对参数速度模有理逼近的2种形式,在此基础上给出了平面Bézier曲线等距曲线的逼近函数和误差估计函数,并导出了保持法矢平移方向的代数方式的等距有理逼近算法。

For the data set with noises, a regularization intropolation method is proposed according to regularization theory. The relation between the regularization intropolation method and radial basis function method is analysed and structure of regularization neural networks is proposed. RBF neural network is introduced by mortifying the regularization neural networks. Finally the approximation capacity of RBF neural networks is analysed. 4. A method of selecting the centers of hidden layer neurons of RBF neural networks is proposed.

首先从精确内插问题开始对RBF神经网络进行讨论,然后根据正则化理论提出了在数据集带有噪声的情况下的内插方法,并分析了这种内插方法和径向基函数方法之间的密切联系以及其对应的正则化神经网络结构,其次对正则化神经网络进行了修改,得到正则化神经网络的简化形式—RBF神经网络,最后分析了RBF神经网络的逼近性能。

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稳定的海底环境─包括能把人压扁的压力和冰冷的黑暗─意谓海底某些最知名的栖居生物已以演化返祖的样态活了万世,形体几无变化。

When I was in school, the rabbi explained everythingin the Bible two different ways.

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