1) probability of data state infection
数据状态感染概率
2) Infection probability
感染概率
1.
Infection probability,cure probability,crowd density and the moving activity in this model were studied.
提出了一个基于二维规则网格的SIS(Susceptible-Infected-Susceptible)动态疾病传播模型,并用元胞自动机方法进行计算机模拟,考查该模型中感染概率、治愈概率、人群密度及人群的流动对疾病传播的影响,结果表明,系统的稳态感染比例随感染概率和人群密度的增加而增大,随治愈概率的增加而减小,同等条件下流动人群比静止人群更容易传播疾病,根据这些研究结论最后给出了对应的疾病预防和控制措施。
2.
98%;the infection probability of HIV was 0.
目的:采用模型分析方法对某省艾滋病感染概率及转化概率进行研究,揭示艾滋病的传播模式。
3) status probability
状态概率
1.
The status probability is defined under the process of DCF,the strategic selections(determined by a best-reply rule) of each player at different time periods up to the selections at time serial set S={0,1,…,τ} are summed.
首先用Markov随机过程来描述联盟结构是如何随着时间的变化而变化的,定义了状态概率等概念。
4) state probability
状态概率
1.
Statistics are grouped,on the basis of which expected Bayesian estimates of state probability are used to establish the forecast model for security investment.
首先进行统计分组,在此基础上应用状态概率的E-Bayes估计建立证券投资的预测模型,最后结合实际问题进行了计算,结果表明本文所提出的方法便于应用。
2.
Using the idea and method of queuing theory, the stochastic inventory model is established presented in form of state probability for one sort of time_effective products, in which the supply intensity is constant but to be determined, the demand intensity is known already, but the demanding amount is stochastic.
将状态概率方程组转化为可用数学软件求解的形式并给出了一般的算法,从而在货物需求强度已知的情况下可以得到近似最优的货物补充强度。
5) Probabilistic data
概率数据
1.
The probabilistic data models and probabilistic databases are discussed.
讨论概率数据模型及概率数据库，分析目前概率数据模型中存在的问题，并提出一些建议，给出这一领域中的一些开放问题。
6) sample data probability model
感知数据概率模型
1.
Sampling and scheduling algorithm for wireless sensor networks based on sample data probability model;
基于感知数据概率模型的无线传感器网络采样和通信调度算法
补充资料：链球菌感染后状态
链球菌感染后状态
post streptococcal infection state
一种链球菌感染后的临床表现。见于某些患者在扁桃体炎或上呼吸道感染后，可持续出现低热、关节酸痛、心率增快，抗链球菌溶血素“O”增高，咽拭子培养可有β-溶血性链球菌生长。少数患者心电图有短暂期前收缩和(或）轻度ST-T改变，但无心脏扩大及杂音。经青霉素及小剂量皮质激素治疗后，迅速恢复正常并不再复发。长期随访无慢性心瓣膜病发生。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条