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1)  stochastic learning theory
随机学习理论
2)  random learning
随机学习
1.
Under such a condition,traditional random learning and systematic learning can never satisfy man s learning requirements and as a resu lt a new learning type ---systematically random learning has become the main stream of acquiring knowledge and developing abilities.
面对这一变化,传统的随机学习和系统学习已经不能满足人们日益增强的、快速变化的学习需求,一种新的学习形态———系统型随机学习成为人们获取知识和发展能力的主流形态。
3)  stochastic dynamic theory
随机动力学理论
1.
Study of the stochastic dynamic theory of DNA s strand breaks with repair induced by irradiation; Laws of SSB and DSB.;
辐射作用下含修复DNA主链断裂随机动力学理论的研究——单链与双链断裂规律
4)  learning double mechanism theory
学习双机制理论
5)  Stochastic theory
随机理论
1.
Approach to evolution of the shape of fluid flow in rocks by stochastic theory;
岩体中渗流形貌演化的随机理论描述
2.
Pointing to uncertainties in process of the construction and operation of concrete dam , the method of stochastic back analysis of material parameters is put forward on the basis of stochastic theory and structural analysis.
针对混凝土坝施工与运行过程中存在诸多的不确定性因素,基于随机理论和结构计算成果的分析,提出混凝土坝材料参数的随机反分析方法,研制开发了相应的优化计算分析程序。
3.
For the bed load discharge of the Lijiang River, by the method of combining mechanical analysis with stochastic theory, a formula of bed load rate is established; and through the experimental research, the coefficients are determined.
采用力学分析和随机理论相结合的方法建立推移质输沙率计算模式 ,并通过水槽试验补充研究 。
6)  random theory
随机理论
1.
On the base of this, the difference between the rough theory and other uncertain theories such as fuzzy theory,random theory and grey theory is analyzed.
在介绍粗糙集理论基本内容的基础上,对粗糙集理论与模糊理论、随机理论、灰色理论等其它不确定理论的差异性进行了分析,同时讨论了它们之间的互补性问题并构建了相应的互补模型,最后,指出了粗糙集理论对于进一步丰富和完善不确定理论体系的重要性。
2.
By the method of random theory,the influence of resistance thermal flutuation on circuital current transient process in a RL series circuit is studied And the s table probability density in current,average current and current flctuation are calculated.
利用随机理论方法研究了RL串联电路中电阻的热涨落对电路中电流暂态过程的影响,计算了 电流的定态几率密度,平均电流与电流的涨落。
3.
Though the levels of understanding of grey theory and random theory are different, grey thoughts and grey ideas are reflected in the use of many random methods, and grey problems could be understood, studied and dealt with from the viewpoint of random under certain conditions.
虽然灰色理论与随机理论的认识层次不同,但许多随机性方法体现了灰思想和灰观念,而灰色性问题在一定条件下也可以从随机性角度去认识、研究和处理。
补充资料:随机数和伪随机数


随机数和伪随机数
random and pseudo-randan numbers

随机数和伪随机数【喇间佣1 al川牌”山一喇闭..m.山娜;cJI了,a如曰e”nce,口oc月卿成.以叹“c月a】 数亡。(特别,二进制数:。),其顺序出现,满足某种统计正则性(见概率论(probability Uleory)).人们是这样区别随机数(mndomn切mbe比)和伪随机数(PSeudo一mn由mn切mbe岛)的,前者由随机的装置来生成,而后者是用算术算法构造的.总是假设(出于较好或较差的理由)所得(或所构造)的序列具有频率性质,这些性质对于具有分布函数F(z)的某随机变量心独立实现的一个序列来说是“典型的”;因此人们称作根据规律F(习分布的(独立的)随机数.最经常使用的例子为:在区间【O,l]上均匀分布的随机数亡。,尸(亡。
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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