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fitting相关的网络例句

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与 fitting 相关的网络例句 [注:此内容来源于网络,仅供参考]

Horticola , in which Compositae, Cruciferae, Laguminosae and Cucurbitaceae are the main families. It occurs seriously on lettuce, cauliflower, pea, rape and horsebean. The hosts can be divided into four types: the most fitting host, fitting host, preferable host and secondary host. The oviposition of C. horticola on 8 kinds of hosts selected was checked under microscope, which had proved the investigation of host suitability and lettuce is the favorite host.

2004年对扬州地区露地蔬菜上的豌豆彩潜蝇寄主种类及危害程度进行了调查,采用五点取样法共查到豌豆彩潜蝇的蔬菜寄主6科23种,主要分布在菊科、十字花科、豆科和葫芦科等的蔬菜上,其中以莴苣、花椰菜、豌豆、油菜、蚕豆受害最为严重;选择性田间调查和室内试验证明,莴苣是豌豆彩潜蝇最嗜好寄主。

Otherwise, we construct an exponential fitting schur product multistep method based on schur product multistep method and exponential fitting method.

数值实验表明,该方法与传统方法相比,在同等步长下,方法的计算精度远远高于传统方法。另外,本文将此类指数拟合方法与Schur积多步方法结合起来,构造了一类指数拟合Schur积多步方法。

I watched them for a while, and reflected that if it was fitting for the 'Jia mansion' to be inhabited by artists, it was equally fitting that 'Prospect Garden' should be a playground for children and that their games should be occasionally interrupted by the voices of old women, fretting or gossiping as they made their way from 'Green Delights' to the 'Naiad's House'.

我看了他们一会儿,然后开始思考这样一个问题:既然贾府宜居艺人,那么大观园是否可以作小孩的游乐场呢,或者同时也可以让的老太太们多惊多怪疑神疑鬼的交谈声在怡红院和潇湘馆之间回荡呢?

The normal calculation methods are polynomial fitting and spectral response function fitting.

计算扫描颜色通常可以用多项式曲线拟合法和光谱响应计算法。

Function approximation, by fitting numerical analysis operations function fitting image.

函数逼近,通过拟合进行数值分析运算,拟合函数图像。

The results show that the fitting curve is very smooth using neural network algorithm with Fourier orthogonal basis function, and its fitting precision is very high.

研究结果表明,用傅立叶正交基函数神经网络算法拟合的曲线十分光滑,拟合精度高。

The multi point-fitting criterion model is built based on n-rank polynomials and orthogonal function least squares fitting criterion.

用n次多项式与基于正交函数的最小二乘拟合法,分别建立多点拟合模型。

Based on analyzing regression analysis, neural network and the least square support vector machines that the three soft computing methods fitting for data fitting, in the paper try to use nonlinear regression analysis, the BP neural network based on Levenberg-Marquardt training algorithm, radial basis function neural network on orthogonal least square training algorithm and least square support vector machines for tracking the position of glass plate.

本文在分析适于数据拟合的回归分析、神经网络、最小二乘支持向量机这三种"软计算"方法的基础上,尝试将非线性回归分析方法,基于Levenberg-Marquardt算法的BP神经网络,基于正交最小二乘训练算法的径向基函数神经网络和最小二乘支持向量机应用于玻璃板位的跟踪中。

The vertex within control mesh of fitting subdivision surface was located by iterative modification and local adaptive subdivision. This method makes it feasible to avoid the solution of linear equation system. The size of control mesh, which is corresponding to the fitting Loop subdivision surface, is smaller. The surface is reconstructed according to the given precision. It can represent detail characteristics of original model, and is piecewise smooth (C^2 continuous everywhere except at extraordinary vertices where they are C^1 continuous).

系统通过对控制网格顶点的循环修正和局部自适应细分来求解最终拟合细分曲面控制网格,避免了求解线性方程组,提高了拟合曲面的质量,实现了在给定精度下用较少的控制网格反映物体细节特征的分片光滑(片内除奇异点C^1,外其余C^2连续)的Loop细分曲面重建。

In order to reconstruct them accurately, a method for fitting the ellipse based on the principle of conditional least square was applied at first, and then its fitting result was used as an initial value to find a more precise result according to the polar line geometrical properties of the ellipse.

为了实现精确建模,本文首先运用一种基于带约束的最小二乘方法对数据点进行拟合,然后用拟合的结果作为初值,根据椭圆的极线性质进行更精确地求解。

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