最后揭示了线性变量替换映射下波锋集的传播规律。
In the end the propagation rule of wave front set under linear substitution mapping is given.
也就是说，一般多线性变量分离可解性在对称约化下从高维系统到低维系统得到了保持。
Namely, the applicability of the method is retained from high dimensional systems to low dimensional systems in the symmetry reduction sense.
然后对两种类型的变量阻力进行分析，并提出了当桥梁处于无缝线路固定区和桥上存在伸缩区的情况下采用线性变量阻力的计算方法。
Both linear and nonlinear track resistances are then discussed. Methods of computation with linear variable resistance are presented for the static zone and the breathing zone situated on the bridge.
更为司空见惯的是，他们可能只是假想变量之间的线性关系：当其中一方上升，那么另一方就会按照固定量上升或下降。
Most commonly, they may suppose a linear relationship between variables: when one thing goes up, another goes up or down by a fixed amount.
并且计算线性组合就像变量是基于10个字符的阿拉伯数字。
Variables and computes the linear combination as if the variable.
动画功能，平滑所有Vede a变量或可视化属性的线性和幂级数的插值点。
Animation features (linear and exponential interpolation for smooth variation of any Vedea variable or visual property).
在深入学习更高级的技术(如多次回归或多变量方差分析)之前，对于简单线性回归的透彻理解将使您受益匪浅。
Before you plunge into learning more advanced techniques, like multiple regression or manova, you could benefit from having a solid understanding of simple linear regression.
最后，本文探讨了第一个数据挖掘模型：回归模型(特别是线性回归多变量模型)，另外还展示了如何在WEKA中使用它。
Finally, this article discussed the first data-mining model, the regression model (specifically, the linear regression multi-variable model), and showed how to use it in WEKA.
无约束优化问题的共轭梯度路径构造的思想启迪我们用其来解带线性等式约束和有界变量约束的优化问题。
The idea of conjugate gradient path in unconstrained optimization irradiates us to use this method for solving the linear equality optimization subject to bounds on variables.
借助于变量代换，求解几类线性微分方程，并得到了几个求解的充分必要条件。
With variable substitution, several kinds of linear differential equations are solved and several sufficient and necessary conditions are obtained.
回归纳入经济/金融变量以及线性样条在时间变量的设置进行测试的外部系列。
Regressions incorporating the economic/financial variables as well as a linear spline in time variable are set up for testing the externality series.
摘要：数据收集的66个国家和运行一个多变量线性回归分析。
Abstract: Data was gathered for 66 countries and a linear multi-variate regression was run.
本文运用线性规划理论，建立了一个包括54个变量(产品)，43个约束条件产品结构优化数学模型。
A mathematics model which deals with 54 variables and 43 constraint conditions is proposed to optimize the product structure by using linear programming theory.
由于这些变量具有非线性时间序列数据，用人工神经网络(ANN)将使用反向传播算法作为学习算法。
Since these variables are characterized as nonlinearities time series data, Artificial Neural networks (ANN) will be employed using back propagation algorithm as learning algorithm.
此外，本文提出的LQ定理使我们能用相关分析法，通过变量变换，把单因素非线性回归问题，化成线性形成来处理。
Besides, the LQ theorem presented in this paper can be used to change a nonlinear single regression problem to a linear one by means of transformation of variables.
通过学习和记忆，建立输入和输出变量之间的非线性关系。
By studying and remembering, the nonlinear relationship of the input and output variable is established.
本文讨论了存在未知扰动情况下如何设计双线性多变量系统的观测器问题。
The problem of designing an observer for bilinear multivariable systems in the presence of unknown disturbances is considered.
利用线性节点及阈值节点进行模式分类，将输入空间的精确变量转换为输出模糊空间的变量。
The PNN applies the linear nodes and threshold nodes to make the modes assortment, and converts the exact variates in input analytical space to variates in output FUZZY space.
因此，温室环境是多变量耦合、时变、非线性的复杂系统。
So the greenhouse is a multi-variable coupled, time-varying and non-linear complicated system.
针对新型五自由度无轴承异步电动机这一多变量、非线性、强耦合的系统，采用逆系统的方法进行解耦控制。
A decoupling control approach based on inverse system has been used for the innovative five degree-of-freedom bearing less induction motor, which is multi-variable, nonlinear and high coupling.
利用系统变量线性耦合方法实现二系统之间的混沌同步；
Chaos synchronization is realized between the two systems via linear coupling of systemic variable.
该控制器将PID的调节输出和线性多变量反馈励磁控制器的输出进行综合。
The controller ties the output of PID with the output of linear multi-variable excitation controller.
本文讨论了由线性多变量子系统组成的互联系统的分散补偿控制；
The decentralized compensating control of an interconnected system consisting of several linear multivariable subsystems is investigated.
温度变量具有大滞后和非线性特点，传统的控温方法不能获得满意的结果。
Because of the large delay and non-linear characteristics of temperature change, the satisfactory results can not be obtained by using the traditional method for controlling temperature.
针对强非线性、多变量耦合系统，提出了一种基于动态t - S模糊模型的约束内模控制策略。
Aiming at the strong nonlinear multiple variable coupling system, a new multivariable internal model control based on T-S fuzzy model was proposed.
方程中的非线性项关于其变量可以具有奇性和间断性。
The nonlinear term in the equation may have singularity and discontinuity in its variables.
方程中的非线性项关于其变量可以具有奇性和间断性。
The nonlinear term in the equation may have singularity and discontinuity in its variables.
应用推荐