判别函数

判别函数在腮腺肿瘤CT诊断中的价值

Value of Discriminant Function Applied in the CT Diagnosis of Parotid Tumors

正态分布的F刻划正态分布的又一个刻画基于正态分布判别函数的航迹关联双门限算法

Research of Double-threshold Tracks Correlation Algorithm Based on Normal Distribution Correlation Discriminant Function

用于3-D物体分类的广义判别函数

D Objects Classification Based on the General Discrimination Function

计算SVM判别函数值的方法

New Method of Computing SVM Discriminant Value

通过Fisher判别函数可以对被试直接进行鉴别分类。

We can directly classify new subjects by Fisher linear discriminant functions .

一种基于LS拟合判别函数的SVR特征选择算法

SVR Feature Selection Method Based on Least Square Estimate Discriminative Function

ITO法和判别函数法在同胞关系鉴定中的应用

Application of ITO Method and Discriminant Functions in Full Sibling and Half Sibling Identification

利用离散增量结合协变判别函数，选取氨基酸组份和N端氨基酸二肽组份为信息参数，对蛋白质亚核定位进行预测。

Based on the increment of diversity and covariant discriminant function , the protein subnuclear location was predicted by using of the amino acid compositions and N-terminal dipeptide compositions .

Fisher线性判别函数在基于COGs分类的基因组间距离研究中的应用

The Application of Fisher Linear Discriminant to Distance Between Genomes Which Based on COGs

目的探讨ITO法和判别函数法在全同胞、半同胞关系鉴定中的应用价值。

Objective To investigate the application of ITO method and discriminant functions method in full sibling and half sibling identification .

最后借助Logistic回归方程构造了判别函数，以期可以利用该函数预测不同证型的病人。

Finally using Logistic regression equation constructed discriminant fnction , it can be used to predict the patien - ts with different syndromes of Traditional Chinese Medicine .

基于遗传编程（GP），提出了一种用于电力变压器绝缘故障诊断的判别函数法。

A new kind of insulation fault diagnosis method for power transformers using genetic programming ( GP ) based discriminant functions was presented .

本章在第四章实证分析的结果基础上，分别建立判别函数和Logistic模型预测提前还款模型。

Based on the results of chapter 4 , we set up discriminatory function and Logistic model to forecast the model of prepayment of personal housing mortgages loan in this chapter .

非线性判别函数的基于MDL标准的勒让德多项式构造法

A Constructing Method of Non-linear Discriminating Function Based on MDL Criterion Using Legendre Polynomials

因此本文依Fisher判别函数来判定图像相似度，决定数据库中所有图像与查询图像的相似队列。

So this paper based on Fisher discriminant function estimating images similarity , and determine similarity queue of all images in database and query image .

实验结果表明，相比较基于二维直方图的Fisher线性判别函数图像分割方法，在图像受高斯噪声干扰的情况下，该方法具有更好的分割效果。

Compared with the Fisher linear criterion function based on 2D histogram , the new method is better in image segmentation for images with Gaussian noise .

并用Bayes准则建立每类的判别函数，回判正确率高达98.37%。

The discrimination function of each group were established by Bayes discrimination anal - ysis , in which the back discrimination ratio is as high as 98.37 % .

结果CAS中医辨证计量诊断判别函数式具有良好的诊断效能，有一定的推广应用价值。

The results showed that the discriminatory function formula for quantitative TCM differential diagnosis of CAS possessed rather high diagnostic efficiency and was worthy of clinical use .

严谨的线性判别函数与判别面的理论，适用于线性阈值（MP模型）神经元分类行为分析。

The rigorous theory of linear discriminant function and decision surface is suitable for the analysis of linear neurons with threshold activation function used as linear classifiers .

Fisher判别函数示判别总符合率为83.3%，AD组为95%，VD组为75%，NC组为80%。

Fisher 's linear discriminant functions indicated that total discriminant analysis rate was 83.3 % ( AD group 95 % , VD group 75 % , NC group 80 % ) .

本研究提出了一种基于AR模型的ECG直接分类方法，利用AR模型系数及其建模误差作为特征对ECG信号进行压缩，并采用非线性二次判别函数形式进行特征分类。

A technique based on autoregressive ( AR ) modeling was proposed , AR coefficients and modeling errors were used to accomplish the compression of ECGs and then classify ECGs by using discriminant of nonlinear quadratic function .

基于Bayes法的C-12蛋白芯片联合检测判别函数的建立及临床意义分析

Establishment of multiple tumor marker discriminant function , its clinical significance for tumor diagnosis , and the differences with C-12 protein chip based on Bayes method

而图像经过分形编码后，得到大量资料，需要一个有效的方法进行检索，文中根据Fisher判别函数来判定图像相似度。

However , the image produces a lot of data by fractal coding and needs an effective method to retrieval , so this paper is based on Fisher discriminant function to estimate images similarity .

该方法在Hilbert边际谱的基础上定义了特征能量函数，并以此作为滚动轴承的故障特征向量，建立M距离判别函数来识别滚动轴承的故障类型。

The feature energy function based on Hilbert marginal spectrum is introduced , which is served as the fault feature vectors of roller bearings . Meanwhile , M-distance criterion function is established to identify the fault pattern .

本文应用270多个样品的化学分析数据中随机选择47个数据进行聚类分析，在Bayer准则下建立判别函数组。

Cluster analysis is done based on the chemical analysis data of 47 samples which are randomly selected from more than 270 samples . Then the discriminant function groups , following Bayer criterion are established .

结论：所建立的Fisher判别函数能较准确地作出冠心病7类证候的诊断和鉴别诊断，所入选的指标对深入研究冠心病证候形成的机理有启发意义。

Conclusion : we can make relatively correct diagnosis and differential diagnosis by the Fisher judgement function for the seven types Syndromes of CHD , and the selected markers are valuable for the study on the mechanism of Syndromes of CHD .

本文针对天气分类预报中采用线性判别函数所遇到的问题，讨论了在协方差矩阵不相等时基于Bayes准则的判别函数，我们称之为非线性判别函数。

This article analyses the problems in adopting the linear discriminant function in weather typing prediction . According to Bayes 's criterion we discuss the discriminant function when covariance matrixes are not equal to each other , which is called " nonlinear discriminant function " .

建立了5群体判别函数，其判别准确率P1为35%~90%，P2为73.7%~86%。综合判别率为67.5%。

Then the discrimination functions of the five populations were set up , the discrimination accuracy being 35 % ~ 90 % for P1 and 73.7 % ~ 86 % for P2 , the integrative discrimination accuracy being 67.5 % .

结论CFS中医证型判别函数与临床实际吻合良好，判别分析等定量分析方法能够提高CFS中医辨证分型的客观性和准确性，有较好的应用前景。

Conclusion The function was accorded with clinical facts . And the way of ration analysis , as discriminative affection , could improve the objectivity and veracity of TCM diagnosis and syndrome differentiation , which has a good application prospect .

本文提出了一种对Ostu法进行改进的阈值计算方法，将前景和背景像素类的内聚性结合到Otsu法中，并给出了一个改进的分类判别函数。

This paper proposes an effective approach to improve Otsu thresholding , which combines cohesiveness of foreground and background image pixel class into standard Otsu thresholding and presents an improved classification function .