periodic phenomena
基本释义:
周期性现象
网络释义
1)periodic phenomena,周期性现象
2)periodism,周期性现象
3)aperiodic phenomenon,非周期性现象
4)non periodic phenomena,非周期性现象非期性现象
5)nonperiodic phenomena,非周期性现象非榔谛韵窒
6)cycle,周期
7)periodic,周期
8)periods,周期
9)period,周期
10)periodicity,周期
用法和例句
Confirmation of Time Cycle to Operate Pump for Propel During Stopping Transportation;
输油管线停输期间开泵顶管时间周期的确定
The Relationship About the Venom s Collection Cycle and the Quantity of the Gloydius ussuriensis Emelianov;
乌苏里蝮蛇采毒周期对排毒量的影响
Beijing real estate market cycle analysis based on principle componential and spectral analyses;
基于主成分分析与谱分析的房地产市场周期研究
The Study of Periodic and Chaotic Behavior in Three Cells Cellular Neural Networks;
三神经元CNN自治系统中周期与混沌行为的研究
Optimal Control for Periodic Age-Dependent Population Dynamics;
一类具年龄结构的线性周期种群动力系统的最优控制
Key Property of Solutions for Periodic Linear Differential Equations;
周期线性微分方程解的一个关键性质
Properties of periods of elements in zero-symmetric BZ-algebras;
零对称BZ-代数元素周期的性质
In order to study the joint distribution of the wave heights and periods of the sea wave under influence of the variance of water depth, 236 records of sea waves classified as three groups according to the rank of the water depth factor(H￣*),were analysed in this paper firstly.
本文研究了水深的变化对波高与周期联合概率密度分布造成的影响。
In this paper,we study the periods of transversal vibration for a tense symmetric double elastic oscillator.
理论研究与数值模拟的结果都表明:振动的周期随着振幅或紧张程度的增大而减小,紧张程度不断增大时周期存在一个极限值。
Study on fouling performance and optimization cleaning period of water cooler sets;
水冷设备污垢特性及其最佳清洗周期研究
The effect of sintering temperature and period for nanocrystalline NASICON materials;
烧结温度和周期对NASICON纳米晶材料的影响
Reducing coke formation and realizing long period operation for catalytic cracking unit;
降低催化装置结焦实现长周期运行
A new characterization on the periodicity of function $f(x);
关于函数周期性的一种新刻画
In this paper the author researches the periodicity and statistical characteristics produced by linear congruence and combined generator through numerical value tests, and puts forward a random numeral generator with a long periodicity, a good independence and homogeneity.
通过数值试验研究线性同余组合发生器产生的伪随机数列的周期性质和统计性质 ,并提供一种周期很长、独立性和均匀性都很好的伪随机数发生器。
The method for mining the periodicity and association rules fr om temporal database is presented.
提出了一种简单有效、抗干扰的周期规律挖掘算法 ;研究了关联规则提取过程中的连续属性离散化 ,并用 Apriori算法发现有效的规则。
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