样本函数

A fuzzy membership model based on support vector data description is proposed to fuzzify all the training data. Then the model is introduced into least square support vector machines. Data samples in input space are mapped into a high dimensional feature space, and then the smallest enclosing hypersphere is found.

将模糊隶属度概念引入最小二乘支持向量机，提出一种基于支持向量数据域描述的模糊隶属度函数模型，将输入空间中的样本映射到一个高维的特征空间；然后根据其偏离数据域的程度赋予不同的隶属度。

Firstly, two covering hypersphere algorithms were proposed, referred to as minimum volume covering hypersphere algorithm and moving medium centers covering hypersphere algorithm, to heuristically and rapidly select the promising hidden center vectors from all the training samples. Then the particle swarm optimization algorithm combined with recursive orthogonal least square algorithm was used to further prune the initial hidden centers and optimize the control parameters.

为在实际应用中加速优化速度，降低优化计算复杂度，首先提出了最小体积覆盖超球和移动平均中心覆盖超球两种算法，用于启发式的从训练样本中快速的初选出径向基概率神经网络的隐中心矢量，然后将粒子群优化算法和 ROLSA 结合进一步优选隐中心矢量，同时优化核函数控制参数，实现径向基概率神经网络的全结构优化。

We Introduce produce elements factor of tendency result coefficient, turn structure production function model into identity that come into existence to every group of sample.

引入生产要素的势效系数，将结构生产函数模型转化为对任意一组样本成立的恒等式。

The substitution model of RBF neural network was made respectively by 3 different test functions. The error analyses indicate that the fractional steps experiment design method is very practical for the substitution model needed large scale test sample points.

对3个测试函数建立RBF神经网络替代模型，其误差分析表明，分步试验设计方法对于需要大规模试验样本点的替代模型是非常实用的。

The radial basis function model was built for the structural optimization based on the design parameters, which were obtained by the Latin square design of experiment.

以结构尺寸为设计变量，利用拉丁超立方试验设计方法选取样本点，建立径向基函数近似模型。

In§5.4,we discuss the hypothesis test problemwhen the location and scale parameter may all change.

5.3讨论尺度参数变点的假设检验问题，引述Wangand Bhatti(1998a)的结果，利用Csorgo and Horváth(1997)的定理，对于Wang andBhatti(1998a)提出的检验统计量〓，其中〓，我们获得了〓的大样本性质，即对于一切实数x〓11进一步地，给出变点〓的估计〓，利用Csorgo and Horváth(1997)的推论1.6.2，我们讨论了变点估计〓的渐近性质，由此，可以给出变点〓的区间估计，〓12其中〓，〓满足〓和〓，这里〓为〓的分布函数。

Also in the paper,we get the point estimator of unknown parameters by using the maximum likelihood estimator method and simulated moment estimator method based on the censored sample.

给出了其寿命分布函数步进形式，在截尾样本场合利用极大似然估计方法和拟矩估计方法求出了未知参数的点估计，最后利用计算机模拟考察了说明本文方法的可行性。

Based on the second PA derivative of mean steady-state system time with respect to a parameter of the service time distribution, we give the second-order stochastic approximation algorithm.

当最优化问题过于复杂，无法使用解析方法分析时，一个可行的方法是在参数的取值范围内用逐次逼近法找到最优点；在使用此类优化算法时，目标函数的样本导数是必需的。

Simulation results obtained using both artificial and real data show that the estimation performance of the proposed method is a good approximation of the unknown function and the computation complexity is significantly reduced.

最后对人工和实际的样本进行了试验，结果说明了线性规划支持向量回归能较好地逼近被估计函数，且计算复杂度明显降低。

An improved algorithm based on former ones was proposed. It introduced mirror image to enlarge sample capacity and adopted the method of the null space of the within-class scatter matrix Sw to get the best solution of Fisher criterion.

为解决此问题，在已有算法的基础上，引入镜像图像来扩大样本容量，并采用零空间的方法求得Fisher准则函数的最优解。

I can not make it blossom and suits me

我不能让树为我开花

When temperatures are above approximately 80 °C discolouration of the raceways or rolling elements is a frequent feature.

当温度高于 80 °C 左右时，滚道或滚动元件褪色是很常见的特征。