Analysis is one of the most popular linear classification techniques for feature extraction.
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。
We know that this research topic - mental health assessment is essentially a pattern recognition or non-linear classification.
可以认识到，本文的研究课题——心理健康的评估问题，本质上属于模式识别或非线性分类问题。
The support vector machine (SVM) is a linear classification machine, it is used commonly in the pattern recognition and nonlinear regression.
支持向量机(SVM)是一种线性机器，广泛用于模式分类和非线性回归。
Even for binary, linear classification it is data dependent whether it is better to train the geometrical model (SVM?) or a probabilistic one.
即使是二进制的，线性分类它是依赖于数据是否是更好的列车的几何模型(SVM ？)或概率。
Simulation results show that the communication signal classification method based on BAM/NBAM is effective, its performance is better than the traditional linear classification method.
结果表明，基于BAM/NBAM的通信信号分类方法是有效的，其性能优于传统的线性分类方法。
Then patterns are categorized by the designed fuzzy inference regulation. The design of this piecewise linear classifier enhances the ability of linear classification of the algorithm.
然后，通过设计的模糊推理规则进行模式的分类，这种分段线性分类器的设计提高了算法线性分类的能力。
Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.
文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。
The gene linear profile model, composed of model profiles and coefficients, is obtained by ica from gene expression data, so gene classification based on ica is presented.
利用ICA对基因微阵列表达谱数据进行分解获得由基因模型谱和对应系数构成的线性谱模型，并在此基础上进行基因分类。
This paper presents the weighted linear combination method for the sentence sentiment classification based on Chinese sentiment word table.
提出了一种基于汉语情感词词表的加权线性组合的句子情感分类方法。
In this paper, a complete classical and potential symmetry classification is obtained for a linear wave equation containing an arbitrary function.
先给出了含有一个任意函数的线性波动方程的古典和势对称的完全分类。
This article simulates misclassification because of mixed pixels on different spatial resolution images, then applies linear model to decompose mixed pixel, so as to improve classification accuracy.
该文模拟不同空间分辨率的遥感图像中混合像元造成的误分类情况，同时应用线性模型对混合像元进行了分解提纯，用以提高分辨率精度。
As to the multiple classification algorithms of large size rule set, we introduce a algorithms named recursive flow classification and this algorithms use the linear buffer to implement recursive map.
接着本文介绍了应用于大规模规则库的快速分类算法的解决方案——递归流分类，该算法是一种利用线性存储区分块递归映射的算法。
A cascade neural network composed of double-layer radial basis function (RBF) and linear basis function (LBF) is proposed for pattern classification.
提出了由两层径基函数(RBF)和两层线性基本函数(LBF)网络组成的串联神经网络模式分类方法。
The classification error rate for normal and early stage DR samples reached 21.35% using a linear classifier and the leave-one-out method.
使用线性分类器进行分类，并用“留一法”统计结果，正常人和早期DR病例的分类错误率为21.35%。
The paper also sets up a classification of time-optimal control problems of general linear time-invariant systems, and discusses the possible methods of solving the problems.
文末，对一般线性定常系统的时间最优控制问题进行了分类，并讨论了求解方法。
This is a scientific computing library with support for multidimensional arrays and linear algebra, required for certain probability, tagging, clustering, and classification tasks.
这是一个科学计算库，支持多维数组和线性代数数，在某些计算概率、标记、聚类和分类任务中用到。
Following the theory on characteristics of first order quasi-linear partial differential equations, classification of the balance equations for two-phase flow in interior ballistics is discussed.
根据一阶拟线性偏微分方程组的特征理论，讨论内弹道两相流方程组的类型。
These four classification results mentioned above are compared, it also concludes that the classified precision of fraction image classification after linear unmixing is highest.
将前述四种分类结果进行比较，结论说明线性分解后丰度图像分类精度最高。
Taking the advantage of neural network in dealing with non-linear problem, neural network is applied to study the discernment and classification of the strip surface defects.
运用神经网络处理非线性问题的优势，将其应用于带钢表面缺陷的识别与分类研究。
The application compared the classification results of ABC fuzzy classification with fuzzy classification, the traditional ABC classification and the linear optimizer.
研究结果表明，模糊分类法与ABC模糊分类法有较高的分类准确度，其中ABC模糊分类法在整体分类准确度上要优于模糊分类法。
For non-linear problem, the forecasting technique of pre-classification and later regression was proposed, based on the classification approach of Support Vector Machine (SVM).
针对非线性问题，提出了基于支持向量机分类基础的先分类、再回归的预测方法。
The support vector machine possesses the ability to solve problems such as small sample, non-linear, and the directed acyclic graphs algorithm has the advantage of high classification accuracy.
支持向量机具有较好的解决小样本、非线性问题的能力，而DAG算法具有分类精度高的优点。
The support vector machine possesses the ability to solve problems such as small sample, non-linear, and the directed acyclic graphs algorithm has the advantage of high classification accuracy.
支持向量机具有较好的解决小样本、非线性问题的能力，而DAG算法具有分类精度高的优点。
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