linear discriminant function

  • 线性判别函数
linear discriminant functionlinear discriminant function
  1. Influence Analysis of the Precision of a Sample Linear Discriminant Function

    样本线性判别函数精度的影响分析

  2. Linear Discriminant Function Analysis of Acoustic Emission Signal in Cutting Tool Monitoring

    线性判别函数对刀具监视中声发射信号的分析

  3. The linear discriminant function is a basic method of the computer pattern classification .

    线性判别函数法是计算机模式分类的一种基本方法。

  4. A New Weighted Way of Linear Discriminant Function

    一种新的线性判别函数的加权方法

  5. A Generalized Form of Fisher Linear Discriminant Function

    Fisher线性鉴别函数的一种推广形式

  6. 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 .

    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。

  7. A linear discriminant function and discriminant criterions were developed using data collected from Daxing ′ - anling region from 1975 to 1984 ( 10 years ) .

    用大兴安岭地区1975&1984年计10年间的资料建立的线性判别函数和判别准则,就回报效果而言,着火判对率为79.1%,不着火判对率为83.2%。

  8. This paper discusses the monitoring of cutting tool wears , modeling an autoregressive of time-series and using linear discriminant function to classification analysis . Experiments prove the method proposed is available .

    本文用时间序列的分析方法对刀具切削中的声发射信号建立自回归模型,用线性判别函数进行类别分析实现对工具的监视实验证明,所用方法是可行的。

  9. This paper uses the relationship of regression analysis and discriminant analysis to apply the method of influence analysis of regression analysis in discriminant analysis to discuss the influence of a set data to the precision of a sample linear discriminant function .

    利用判别分析与回归分析的关系,将回归分析中影响分析的方法应用到判别分析中,讨论了一组试验数据对样本线性判别函数精度的影响问题。

  10. Firstly this paper introduced the principle of Fisher linear discriminant function , and then present the Subspace LDA algorithm which project the data that is in high dimension space to eigenspace that is in low space and then maximize discriminant coefficient .

    本文介绍了Fisher线性判别准则原理和实现过程,然后引入SubspaceLDA方法,用PCA将高维图像数据投影到低维的特征脸空间,再用LDA最大化判别系数。

  11. 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 " .

    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。