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样本点的英文

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"样本点"怎么读用"样本点"造句

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  • sample points

例句与用法

  • A crude way to verify the accuracy of the estimating equation is to examine the graph of the sample points .
    检验估计公式的一种粗略方法,是考察一下样本点的图象。
  • Comparison of methods to produce sample points in training ann
    神经网络学习样本点的选取方法比较
  • Improved algorithm for finding the sample points of algebraic decomposition on plane
    寻找平面代数剖分样本点的改进算法
  • Regression software programs graph the sample points and give the ( cost - function ) formula of the straight line that best fits the points
    回归软件程序将样本点用图表示,并且给出最拟合样本点的直线的价值函数公式。
  • Based on the critical point algorithm and zero - match algorithm , an improved algorithm for finding sample points of algebraic decomposition was proposed
    基于非线性多项式方程的零点配对算法以及临界点算法,给出了一种求平面代数剖分样本点的改进算法。
  • The program compiled according to monte - carlo method is easy , so computer can select a lot of samples within short time , and it is enough to meet the demand
    由于蒙特卡罗方法编制程序异常短小简单,因而可以在短时间里利用计算机模拟大量样本点的选取工作,完全可以满足需要。
  • The visual - fit method relies on the ability of the analyst to fit a line to the plot of sample points , but it is subjective and does not provide a measure of how well the line fits the points
    直观法依赖分析者的能力来拟合样本点连成曲线,但是它是主观的,并且不能提供曲线拟合点有多好的程度。
  • Because neural network is based upon empirical risk minimization and asymptotic theories , it is suitable to deal with situations where the amount of samples is tremendous and even infinite
    神经网络的理论基础是最小化经验误差,这种基于传统的渐进理论的学习方法,在训练样本点无穷多时是适用的。
  • According to the computer program , the preterit memory of the two pattern we designd exhibit explicitly , at the same time , the posterior distributing chart of those pattern dots have very important reference value
    通过计算机程序实验,我们设定的两种模式下的历史记忆情况清晰明了,并且该模式样本点的后续走势分布图有很大的参考价值。
  • If the covariance stationary processes are one dimension , for given data , covariance function and spectral density function can be estimated , and there is no need to select kernel function and its parameters
    如果协方差平稳随机过程的状态是一维的,对给定的样本点,给出了协方差函数的估计和其对应谱(密度)函数估计,而不必选择核函数及其参数。
  • 更多例句:  1  2  3
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