- 可变时间
- 可变时限
- 可调定时
- variable: adj. 1.易变的，变化无常的，无定的 (opp. c ...
- time: n. 1.时，时间，时日，岁月。 2.时候，时刻；期间； ...
- time variable: 时间变量; 时间变数
- compile time variable: 编译时变量
- compile-time variable: 编译时变量
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variable time中文什么意思
- 可变时间
- 可变时限
- 可调定时
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例句与用法
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- At an early stage in the evolution of the high - speed diesel a variable timing device was introduced in the pump drive coupling , taking the form of a helically splined coupling by means of which the angular relation between driving and driven shafts could be varied by manual or automatic control
翻译：在高速柴油机发展的早期，可变的正时装置被引用到油泵驱动联轴节上，采用螺旋式花键套管的形状，驱动轴和从动轴之间的相对角度可以通过手动或自动控制进行改变。 - What the practical problems is often gotten is a single variable time series which has a time interval of t , reflect by a lot of interactive physics factor , containing the mark of all variates participating in movement , traditional time series analysis is to analyse going from this array to the form directly it ' s time develops , one dimension analysis loses useful information , the characteristics of phase space reconstruction method is to construct one dimension scalar quantity to high dimension vector , prop the geometry space of the state , show all dynamical information of system in phase space . the characteristic that just constructs again according to the phase space in this text , analyse the time series of responding , use the relevant knowledge of symbol dynamics and reconstruct phase space , put forward a kind of relation degree analysis method of the systematic mathematics model which has theory basis , so reach the correction of calculation mathematics model , make it accord with the actual systematic state
实际问题中常常得到的是一个时间间隔为t的单变量的时间序列，它是许多物理因子相互作用的综合反映，蕴藏着参与运动的全部变量的痕迹，传统的时序分析是直接从这个序列去形式地分析它的时间演变，一维分析必然丧失许多有用信息，相空间重构方法的特点是把一维标量数据构造成高维矢量，支起状态的几何空间，在相空间中展示系统全部动力信息。本文正是根据相空间重构的特点，对响应时间序列进行分析，利用符号动力学、重构相空间等方法，提出一种有理论依据的系统数学模型关联度分析方法，从而达到修正计算数学模型，使其更符合实际系统状态的目的。 - The comparison of three models ( single variable time series model 、 multivariable time series model and gray prediction model ) shows that the multivariable time series model ' s prediction precision is the highest . it indicates that using recurrent composed bp networks can exactly predict the boiler fault in order to prevent the fault , and help operator of power plant to adjust the parameters in a permitting range
通过基于递推合成bp网络的单、多变量时间序列模型与灰色预测模型的预测精度分析计算表明，应用基于递推合成bp网络的多变量时间序列模型能较准确的预测锅炉故障，指导运行人员对机组进行即时调整，使预期的参数在允许范围内，以避免故障的发生。 - In this dissertation , we study some stability properties for two impulsive differential systems employing lyapunov ' s second method : one system is impulsive hybrid differential system : the other is differertial system with impulses at variable time : herein these stability results do not require a lyapunov function to have a negative definite first derivative along trajectories of the system , further we may not require its derivative to restrict the function increasing growth ; and we do not give conditions on continuous portion or discrete portion of the systems respective ! } " , hence we can give mixing conditions on them
在这篇硕士学位论文中，我们主要借助lyapunov第二方法的思想，讨论了两类脉冲微分系统：脉冲混合微分系统和具有依赖于状态脉冲的微分系统的稳定性问题。不同于以往的研究，本文所找的lyapunov函数沿系统轨线的一阶导数不再局限于常负或定负，甚至不用其导数来限制其增长速度；不再局限于对离散或连续部分分别设置条件，而是对其离散和连续部分设置混合条件。