1) whole transition probability
全转移概率
1.
Meanwhile, a simple matrix algorithm is suggested for any m step transition probability and the m step whole transition probability of this extended Markov chain.
将爆破网路中常见的一些典型形式化归成马尔可夫链的模型 ,给出了这些马尔可夫链的转移概率矩阵 ,并将跨越式网路化归成一种“推广的马尔可夫链”,对这种推广的马尔可夫链的任意 m步转移概率和 m步全转移概率提出了简炼的矩阵算
2) transition probability
转移概率
1.
Markov properties transition probability and forecasting for generalized Brownian Sheet;
广义Brownian Sheet的马氏性、转移概率和预测
2.
Research of transition probability computation method for grid workflow;
网格工作流中转移概率的计算方法研究
3.
The relationship between the meteorological factors and the drought and flood disasters has been established,and three methods for forecasting the trends of floods and droughts,which are the transition probability,the phase of the sun activities and El Nino,are proposed.
根据气象因素和旱涝灾害的关系,引入了转移概率、太阳黑子相对数和厄尔尼诺方法,导出了未来旱涝灾害预报的方法和公式,对该区2001~2010年旱涝灾害趋势作了预测。
3) transfer probability
转移概率
1.
A method to compute transfer probability in the forecast model and to forecast quality of forecast model are discussed.
基于马尔可夫分析理论,给出了人才拥有量预测的马尔可夫模型,并且讨论了模型中转移概率的确定及模型的预测质量等问题。
2.
The random distribution of Pinus yunnanensis stand system in the spacetime conforms to the description of‘the symmetry of probability’,while the decrease progressively in the number of trees and the increase progressively in the volume of stand conform to the description of‘the non symmetry transfer probability’.
而林分产生的株数递减率和蓄积量递增率则遵循“非对称性转移概率”的描述。
3.
The succession of broad-leaved forest by decreasing tree number and increasing storage was in accordance with the characteristics of transfer probability.
阔叶林分通过株数递减和蓄积量递增而演变,这种演变过程和转移概率的特征是一致的。
4) transition probabilities
转移概率
1.
Based on Markov theory , a dynamic model is proposed for predicting performance of structures, and a method for determining transition probabilities of structures is given.
以马尔可夫(Markov)理论为基础,建议了预测结构性能的动态模型,并给出了确定结构状态转移概率的方法。
5) probability transition
概率转移
1.
Starting from the cyclic competition, we construct the Levins-like metapopulation model (LMM) based on the mean-field assumption and the probability transition model (PTM) based on local dispersal and Markov process in homogenous patchy environment.
在局部扩散的假设下,依据马尔科夫过程理论建立了概率转移模型。
6) markov chains
Markov转移概率
补充资料:转移概率
转移概率
transition probabilities
【补注]另外的参考文献见Map劝.链(MaJ吸oveha山);Map幼.过程(Markovp《祀eSS) 在(1、中,如果‘笋j,又。多o;又“(0,转移概率【。习n茹叨拌J班城d巴:nepexo皿n、,e砚po:-mocTll」 MaP劝B链(Markov cllaill)在时间区间【、,t]内从状态i转移到状态]的概率 尸。(S,t)二p{亡(t)一21省(s)二i},5
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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