最后给出了随机模型的政策含义。
建立三种线性随机模型；
本文分析了传统随机模型的局限性，利用蒙特卡诺的基本思想。
In this paper, the shortcomings of traditional randomness model are discussed.
如何使模型学习与记忆具有一定随机性。
How to make learning and memory of the model possess some randomness.
文章在可数状态空间中建立了时间随机环境下随机游动的一个广泛的模型。
A general model of random walk in time-random environment in any denumerable space is established.
随机准备金评估模型和传统链梯法有内在的联系。
There is the link between the chain ladder model and stochastic reserving method.
特别地，约化模型应用了随机过程中的马尔科夫理论。
Particularly, the markov theory of random process has been used in reduced model.
我们证明该方案在随机预言机模型中是可证安全的。
Then we prove that our scheme satisfies these security notions in the random oracle model.
对于与时间参数有关的可变荷载一般选用随机过程模型。
Vehicle load that are relate to time parameter is described as random process model.
并在随机谕示模型下，证明了方案具有选择密文安全性。
The scheme has adaptively chosen ciphertext security in the random oracle model.
本文通过对汽车随机载荷的分析，建立了极值载荷的统计模型。
On analysis of automobile random load, a statistical model is established on extreme load.
我们在随机预言模型下给出了方案的安全性证明。
The formal security proof of this scheme is provided in the random oracle model.
讨论了马尔可夫链模型在随机程序测试中的应用。
The application of Markov train model in random program testing is discussed in this paper.
随机数学模型，近年来在许多领域得到了比较广泛的应用。
Random mathematical model has found wider use in many fields in recent years.
介绍具有随机设计的一类半参数方差函数模型。
We propose a general semiparametric variance function model in a random design setting.
本文建立了一种平衡随机道路输入的数学模型。
A kind of mathematical model for steady random road input is built in this paper.
针对项目，分析出具体的随机库存模型、策略、控制方法和信息处理模块。
We analyse actual random inventory model, tactic, control method and information processing module.
研究随机利率下离散时间保险风险模型。
This paper studies the discrete time risk model with stochastic rate.
应用神经网络对未建模型的非线性随机系统进行控制。
Use Neural Network to control unfounded model nonlinear random system.
最后，采用时间序列分析方法建立了半球谐振陀螺的随机误差模型。
Finally, the random error model of HRG is established by using time series analysis method.
因此，基因调控网络较精确的模型应该包括随机噪声。
Therefore, gene regulatory network should be described by more accurate models which include random noise.
随机方向移动模型。
在复杂网络分析中，通常采用随机网络模型。
The random network model is widely used in analysis of the complex network.
随机路点移动模型。
结果表明，所建立的随机过程模型及其解析结果具有普遍性。
The model of stochastic process and the analysis results possess universality.
研究带有随机干扰的市场模型。
In this paper, a duopoly model with random noise is researched.
采用云模型来自适应控制蚂蚁的随机性。
第二类模型是随机均衡模型。
用非随机的函数模型预测事故是不合适的。
This is not right to use non-stochastic function model to forecast accidents.
定义了方向随机效果模型（DREM）。
应用推荐