| 1. | 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。 |
| 2. | 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 |
| 3. | 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 |
| 4. | 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。 |
| 5. | 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。 |
| 6. | 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。 |
| 7. | 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。 |
| 8. | 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。 |
| 9. | 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。 |
| 10. | 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。 |
