variant adj. 1.相异的,不同的,不一致的。 2.各种各样的。 3.易变的,不定的。 a variant reading (in some MSS.) (某抄本的)异文。 40 variant types of pigeons 鸽子的四十种变种。 n. 1.变体,变形;变量。 2.(字音的)转讹;(字的)异体。 3.【统计学】变式;【生物学】变种,变异体。
A parallel control method based on rbf neural network and fuzzy control for nonlinear and time - variant performance of motor servo systems is presented 摘要针对电动伺服系统的非线性和时变性因素,提出了一种rbf神经网络和模糊控制复合控制的控制器。
The data warehouse is a subject - oriented , integrated , time - variant , non - volatile collection of data used to support the strategic decision - making process for the enterprise 数据仓库是基于主题的、集成的、时变的、非易失的数据的集合,为企业的战略决策制定过程提供支持。
5 . based on the dynamic time - variant characteristics of manufacturing errors and measuring errors , the requirement is given of manufacturing ability and measuring ability in order to realize the zero - waste manufacturing 基于加工误差和测量误差分布的动态时受特性,给出了实现零废品加工对加工能力和测量能力的要求。
Abstract : the ever increasing number and power of polluting loads ( non - linear , time - variant loads and so on ) connected to the electric power network cause a significant distortion in the line voltage and line current 文摘:电力系统电网中逐渐增多的“污染性”负荷(如非线性负荷、时变负荷等)正在使电网中的电流、电压出现越来越多的、显著的畸变。
However , high - speed data transmission system suffers from time - variant multi - path fading and inter - symbol interference ( isi ) . as a solution , adaptive equalization can effectively combat isi by compensationg for channel distortation 随着数据率的提高,信道呈现出频率选择性,信号的一些频率成分将产生深度衰落,产生码间干扰( isi ) ,影响系统的性能。
The simulation results show that two algorithms can efficiently estimate channel parameters , but the late method has better performance than the former when channel is time - variant . finally , there are conclusion and prospect 仿真结果表明,两种信道估计方法都能够有效估计信道参数,而无训练比特的迭代信道估计方法在跟踪信道参数变化方面的性能更优越。
Generally , the parameters of ship maneuvering motion are subjected to vary with ship running status and circumstances . therefore , ship maneuvering motion is time - variant , non - linear and noise disturbing process 在实际的船舶航行过程中,船舶的各种操纵运动参数总是随着船舶的运行状态和航行环境的变化而发生变化,船舶操纵运动是一个时变、非线性和有干扰的过程。
This dissertation proposes , in the first time , three progressive layers to model the dynamic load , namely , modeling on load basic characteristics , modeling on load time - variant characteristics and modeling on the load of large - scale power grid 本文首次提出三个递进层面的量测负荷建模方法,即:负荷建模的基础研究、负荷建模的时变性研究以及大区电网负荷建模研究。
We make use of artificial neural network ( ann ) to model urban traffic system which is a heavily nonlinear , stochastic , time - variant and uncertain system . moreover we design the structure and learning arithmetic of ann 考虑到城市交通系统本身是一个具有严重非线性,随机性,时变性、不确定性的复杂系统,利用人工神经网络技术来建立城市交通流模型,并详细地阐述了神经网络的结构和学习算法。
Compared with kalman filtering , the unknown definite disturbance with finite energy instead of white noise drives the state - space system in h filtering . compared with the time - variant filter and the first - order filter , h filter has preferable robustness 与kalman滤波相比, h _滤波采用未知的具有有限能量的确定性干扰代替白噪声驱动状态空间系统;与时变滤波器和一阶滤波器相比, h _滤波器具有较强的鲁棒性。