查询词典 stochastic

First, time series of spontaneous spike trains of auditory nerve, which represent Poisson distribution in time field, are pure stochastic process, or process which have inherent temporal regularity, that is, inherent deterministic mechanism?Second, if the process have inherent deterministic mechanism, how to depict it?

我们关心的问题是：一、在时间轴上放电间隔分布呈泊松分布的听神经自发放电时间序列，是一单纯的随机过程，还是具有某种内在的时序规律性，或称之为内在确定性？

Because the time series generated from finite difference equation with chaos may also possess exponential distribution of probability density. Additionally, irregular dynamics has ever been attributed to the presence of stochastic noise in many systems, but actually it may result from chaotic process in deterministic system.

近年来对非线性动力系统的深入研究发现：观察到某一过程具有指数型概率密度事件分布并不足以确定它就是泊松过程，由具有混沌行为的有限差分方程所产生的时间序列也可具有指数型概率密度分布；在许多系统中，过去归因于随机噪声的不规则动力学特性，实际上很有可能是由确定性系统中的混沌过程所致。

While the negative coupling suppresses the fluctuations in the laser system and changes the system from stochastic process to deterministic process.

标 签 正耦合负耦合加性噪声倍增噪声涨落 positive coupling negative couling additive noise multiplicative noise fluctuation

A case study shows that the optimal waste load allocation can achieve water quality standards in stochastic conditions, and the model's outcomes are clearly different from those of the conventional deterministic linear programming model.

研究结果表明，污染负荷优化分配结果能够满足随机条件下的水质达标率要求，并且与传统的确定性线性规划模型的分配结果相比有着明显差别。

These problems in reality can be classifies into two major categories: transport bilevel programming problems with deterministic user equilibrium constraints and transport bilevel programming problems with stochastic user equilibrium constrain...

此文首先从模型和算法的角度总结了有关这类问题已有的研究成果，接着介绍有关这方面的最新的研究进展，即如何把用户基于平衡原则下的交通网络优化问题的双层规划模型统一地转换为一个连续可微的单层最优化问题，并设计统一的算法。

E. , only are random variables, pointed that every objective important degree commonly is different, built the equivalent deterministic weighted programming model based on fuzzy set theory for multi - objective fuzzy stochastic linear programming.

研究了资源量b为随机变量的多目标随机线性规划问题，指出了多目标规划问题的目标一般不是同等重要的，针对多目标模糊线性规划问题，利用模糊集合理论建立了相应等价的确定性加权模糊随机规划模型。

Furthermore, a multi-container port bi-level programming model under the uncertainty conditions is established, and stochastic bi-level programming model is transformed into deterministic bi-level programming model according to random programming theory.

针对本文建立的双层规划模型，采用基于灵敏度分析的启发式算法S(来源：Ad1BC65论76文网www.abclunwen.com)AB求解。同时进一步建立了不确定条件下的双层规划模型，并且根据随机规划理论转化为确定型双层规划模型。

A stochastic nonlinear programming model of production with delay interaction (which is a static optimization model to solve the dynamic optimization problem) is built up and transformed into a deterministic nonlinear programming model and further into a linear programming model by adding constraints.

首先根据实际需要建立关联方程有延迟的车间生产的随机非线性规划模型，即一种求解动态优化问题的静态优化模型。

These problems in reality can be classifies into two major categories: transport bilevel programming problems with deterministic user equilibrium constraints and transport bilevel programming problems with stochastic user equilibrium constraints.

这些问题大致上可以分为二大类：一类是涉及到确定性用户平衡原则；另一类是考虑随机性用户平衡原则。

Secondly, a joint pricing and capacity allocation model is formulated considering bulk demand. Chance constrained programming is used to transform the stochastic model. Numerical examples show our model and method is more near the simulation results than the deterministic programming and bigger learning coefficient leads to higher profit contribution.

接着，建立了考虑批量需求的BTO模式下制造企业定价与能力分配的集成模型，利用机会约束规划方法对此随机模型进行转化和求解，算例仿真表明机会约束规划方法较确定性规划方法更好地反映了随机连续需求的分布和波动特征，其期望利润贡献与仿真结果更接近；学习效率越大，最优价格越低，接受订单数量越多，期望利润贡献越高。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。