队列状态概率的非常规算法。
队列状态概率的非常规算法。
队列状态概率的非常规算法。
通过使用强大的矩阵几何方法，可以获得平稳系统状态概率分布。
Using a powerful Matrix-geometric method, the stationary probability distribution for the system states is obtained.
该最优化通过建立系统状态标记图，由稳定状态下的状态概率求出其它数量特征。
This optimization set up sign chart; evaluated other amount character by status probability in the state of stabilization.
根据最终状态概率代表颗粒运动趋势的原理，砂床高度的变化应是床层表面颗粒运动状态转换的结果。
The probability of the final movement of grain can indicate its movement tendency, and the change of the sand-bed height can reflect the transformation status of grain movement.
通过马尔可夫分析，构造了求解系统处于平稳状态概率的迭代算法，提出了计算订单的平均缺货水平的近似表达式。
Based on Markov analysis, this paper presents a recursive algorithm to compute probabilities under stable states and derives the approximate expression for order-based backorders.
针对决策者在进行方案选择时各种自然状态发生概率的不确定性，提出并讨论了离散型模糊状态概率下的方案选择问题。
Considering the uncertainty of the probabilities of events in the selection of alternatives, the alternative selection problem with fuzzy state probability is proposed and investigated.
该模型将输电线路的运行状态划分为四种状态，给出了每种平稳状态的状态概率、状态频率和状态持续时间的计算方法。
In this model, running state of transmission line is divided into four states, and calculation method of state probability, state frequency and state duration in balanced state are given.
针对多态系统中可能存在多种状态概率表示形式的情况，介绍了多态系统可靠性计算的随机模型、模糊模型和区间模型。
With respect to different forms of state probabilities with uncertainty in multistate systems, multistate reliability models of stochastic, fuzzy and interval forms are introduced.
该方法通过修正generate算法，以状态概率不增的次序生成了网络的最大概值有效状态，构成网络状态空间的满足给定范围概率的子空间。
By improving generate Algorithm, we generate the most probable effective states in order of non-increasing probability and form a subspace with some coverage probability.
换句话说，这些状态的任何一个的概率，都比这个状态要低一点。
In other words, the probability of any one of these states is a little bit lower than this state.
复杂系统的概率描述提供了一种状态序列的表示方法，涉及到一个包含符号和字母的符号系统。
The probabilistic description of complex systems offers a representation in terms of sequences of states that can be regarded as symbols, or letters of an alphabet.
某些分子或者某个氧原子，位于屋子的某处，处于某个能量状态的，概率是多少？
And what's the probability that some molecule, one of the oxygen molecules somewhere in this room, is in a certain energy state. Right?
那么对于概率，换句话说，分子处于这个状态或这个状态的概率，基本相等。
And so the probability, in other words, that the molecules are in this state or this state are essentially equal.
当我们考虑，能级被占据的概率的时候，这个式子意味着在任何温度下，最低能量的状态总是最有可能被占据的。
When we looked at this probability distribution for the occupancies of the levels, of course, what it says is at any temperature, he lowest level is the most probable.
并且我们能够计算分子，处于任意状态的概率，当我们知道一个状态的能量之后。
And we can calculate what the probability is for a molecule to be in any particular state if we know the energy of that state.
现在我们已经描述了概率，可能被占据的状态被占据的。
Now we've described the probabilities in terms of the states that can be occupied.
如果我们写,就像之前看到的，它就是各个状态的能量,乘以概率的和。
E So if we wrote E as we've seen in the past, it's just the sum over that energy times the probability for each state.
换句话说，它是每个状态的概率乘以这个状态的能量，所有状态加和。
In other words, it's the probability of each state times the energy of that state. Summed up over all the states.
我们想知道的就是，所有不同能量状态的概率。
And so we'd like to be able to know what are all these probabilities of different energy states.
并且我们知道，某个状态必定会被占据，那么这些概率相加，的结果应该等于一？
And then realizing that the probability that some state out there has to be occupied, we saw that of course if we sum over all these probabilities that sum has to equal one, right?
换句话说，系统的内能等于任意状态的能量,乘以系统处于这个状态的概率。
Of Pi times Ei. In other words, it's going to be determined by the energy of any system state times the probability that the system is in that state.
这就是一个分子处于,具有Ei能量的状态的概率的函数形式。
Well, this is our functional form for probability of a molecule being in a state with energy Ei.
对于防止为了计算每一种可能性而进行的大量计算，以及为此消耗的大量时间（即使所有世界状态的变迁概率都已知），这样的做法是非常有益的。
This can be extremely beneficial in cases where calculating every possibility is very time consuming (even if all of the transition probabilities between world states were known).
如果状态的能量相等，那么这些状态被占据的概率也相等。
If the energies of the states are equal, the probabilities that those states will be occupied.
对于诸如世界状态以及智能体行为是否按照预期进行的可能性这类问题，效用函数通常要结合概率进行处理。
Utility functions are usually combined with probabilities about things like the state of the world and the likelihood that the agent's actions will actually work in the expected way.
现在我们知道如何确定一个状态,被占据的概率了，这意味着，如果我们有大量的状态,而且这些状态的能量远小于。
So now we know how to figure out how likely it is hat a certain state is occupied. And what it means is, let's say we have a whole bunch of states kT whose energy is pretty low compared to kT.
在某种情况下，这个能量被占据的概率更大，因为有更多的状态数，对于系统而言，这个数目不是三或者是一。
Just the way, in a very small way, this energy might be favored just because there are more states with it then there are states here. But again, with the system, it's not a factor of three to one.
在某种情况下，这个能量被占据的概率更大，因为有更多的状态数，对于系统而言，这个数目不是三或者是一。
Just the way, in a very small way, this energy might be favored just because there are more states with it then there are states here. But again, with the system, it's not a factor of three to one.
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