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In this dissertation, two methods were adopted to build dynamics model for vehicle ride comfort analysis: one is eight freedom vehicle ride comfort differential equation model in which lateral movement of driver and vehicle body was considered. Combined with time domain model of random road input, we got the driver and vehicle's moving displacement. The other method, we built a Forland truck virtual prototyping using ADAMS, it is a 3D machine model, totally with 596 freedom degrees, every factor that influences the vehicle ride comfort was considered, finally complete the time domain simulation on random road input.

本文采用两种方法建立了车辆平顺性分析的动力学模型：8自由度车辆平顺性分析的微分方程模型，考虑了驾驶员和车体的侧倾，结合随机路面激励的时域模型，在B级路面输入条件下，进行了时域仿真求解，得到车辆和驾驶员在汽车坐标系中各个方位上随时间历程的运动位移；利用ADAMS软件建立的福田小卡汽车，共计596个自由度的三维实体整车虚拟汽车模型，全面地考虑了影响平顺性的各种因素，然后通过对路面功率谱的变换生成适合于ADAMS/Tire的路面文件，实现了整车虚拟样机在随机输入激励下，车辆振动模型的时域仿真求解。

The functionality of the random.choice function is given a sequence, return a random element of that sequence.

函数random.choice的用处就是根据指定序列，随机返回该序列中的一个元素。

A random fuzzy variable is a function from a credibility space to the set of random variables.

在随后的时间里，得到了越来越多学者的重视，并取得了丰硕的成果。

A function of a random variable is itself random in general.

一个随机游走的函数其本身也是随机的。

Random Array Generator - Simple function for generating a random array of long integers.

这是一个简单的函数，用来生成一个长整数的随机数组。

Then, based on the random opening and closing of ion channels, we consider the random HH model.

首先，在确定论模型中，研究发现温度的增加不利于神经元动作电位的产生。

The notion of a complete random inner product module is a random generalization of that of a Hilbert space.

完备随机内积模是Hilbert 空间的随机推广。

In ordinary regression analysis with random effects, the homoscedasticity of random effects is a basic assumption.

在随机效应回归模型中，随机效应存在时随机效应方差齐性是一个基本假定，在这些假定下，方可进行常规的统计推断。

In the analysis of longitudinal data, when the clusters size are random, it is still a conventional hypothesis that random effects should have homoscedasticity, Otherwise statistical inference would be more difficult.

类似与固定组容量模型，在组容量随机情况下的纵向数据分析中，假设随机效应方差齐性也是值得怀疑的，需要用统计的方法予以确认。

Because the characteristic is combining explosive, it is advised that using Binary SLNN to solve the problem. In order to test the liability of the results, this study will use random researching method in comparison with Weighted Hungarian Method. It is found that the testing result of SLNN is superior to Weighted Hungarian Method in solution-effect and random searching is the worst one.

由於问题具组合爆炸的特性，故本文拟以自我学习神经网路解多目标指派问题，另为使解答有比较之依据，在此与随机合法解及加权匈牙利法的解答作比较；经测试，在解答品质及稳定性方面，以自我学习神经网路表现最佳，加权匈牙利法次之，随机合法解效果最差。

What was it that made you want to change sider ?

是什么使你临阵倒戈？

I don't know what he wants, but let's play along with him.

我不知道他要干什么，可我