线性判别分析是一种较为普遍的用于特征提取的线性分类方法。
Analysis is one of the most popular linear classification techniques for feature extraction.
地质录井油气水层识别有多种方法，如岩心岩屑肉眼观察法、录井数据图版法、线性函数判别法等。
There are many kinds of oil-gas-water recognition methods such as the core and cuttings testing, cross charting, linear function recognition.
提出一种基于螺旋系线性相关性和约束反螺旋概念的空间并联机器人输入原动件选取合理性的判别方法。
Based on the concepts of reciprocal screws and their linear correlativity, a detecting method of input interference in a spatial parallel manipulator is presented.
实证分析结果表明：其一，我国上市公司财务比率不服从正态分布，因而不适宜使用多元线性判别分析方法建立财务危机预测模型；
The results are as the following: firstly, financial ratios aren't identical to the normal distribution, so it's not suitable to conduct the early-warning model by Linear Multiple Discrimant Analysis.
证明了一类非线性离散动力系统不动点的两个判别方法，具体分析了两个不同类型的离散动力系统的不动点性质及其分岔特性。
Some nonlinear discrete dynamic systems are considered, and two discriminating methods of the fixed point are proved. The bifurcation behavior of the corresponding dynamic systems is also studied.
在线性方程组有解判别定理的基础上，给出了一个判定非齐次线性方程组存在全非零解的方法。
On the basis of the solution identification theorem in linear equations, a method is presented to ascertain whether there exists all-nonzero solutions to an inhomogeneous linear equation.
本文用等效增益概念，根据根轨逊理论，导出了具有普遍意义的非线性系统稳定性的判别准则以及定性定量分析稳定性的方法。
From theory of root locus derived are the criteria of universal interest for stability of nonlinear system on the basis of equivalent gain, and methods for its qualitative and quantitive analyses.
采用LBP算法与直接线性判别分析算法相结合的人耳特征提取方法在识别率方面与原始图像特征提取方法相比有明显提升。
The algorithm based on LBP and direct linear discriminant analysis have distinct advance than the extraction algorithm using the original image in recognition rate.
在线性方程组有解判别定理的基础上，给出了一个判定非齐次线性方程组存在全非零解的方法。
Homogeneous linear equations of n-variables have the non-zero solutions when the rank of its matrix is less than n.
在线性方程组有解判别定理的基础上，给出了一个判定非齐次线性方程组存在全非零解的方法。
Homogeneous linear equations of n-variables have the non-zero solutions when the rank of its matrix is less than n.
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