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SenCos
Generador de señ ales Seno y Coseno
- 2014-02-24 06:15:35下载
- 积分：1
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psogaoshang
说明： 高尚版本的粒子群算法源代码，用MATLAB编写(High version of Particle Swarm algorithm source code written with MATLAB)
- 2010-04-18 22:18:06下载
- 积分：1
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copula
GOOGLE代码网站最全的COPULA公式MATLAB合集(COPULA formula code on GOOGLE website the most complete collection for MATLAB)
- 2021-04-07 12:29:01下载
- 积分：1
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regularity
Tamura纹理特征的matlab实现（五）---规则度(Tamura texture features of the matlab implementation (e)--- regularity)
- 2011-05-09 21:21:54下载
- 积分：1
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svorm
Pearson s correlation coefficient between two variables is defined as the covariance of the two variables divided by the product of their standard deviations
- 2010-12-23 19:01:34下载
- 积分：1
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cancer
说明： 本程序基于matlab实现，对癌细胞图像进行处理，目的对癌细胞形态进行分析(Matlab based on the realization of this procedure, images of cancer treatment, the purpose of the analysis of patterns of cancer cells)
- 2008-10-28 14:22:03下载
- 积分：1
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matlab 线激光相机标定
说明： 线激光标定，matlab，带数据，带图片(Line laser calibration, MATLAB, with data, with pictures)
- 2021-04-15 10:58:55下载
- 积分：1
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Des29ktop
matlab课程编程【谷速软件】matlab彩色分割的ΔE色差(matlab programming courses [Valley] matlab software speed color segmentation ΔE color)
- 2014-12-31 11:20:20下载
- 积分：1
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Minimum-Risk-Bayes-classifier
这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。
全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。
调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。
调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，通过比较概率大小判断一个体重身高二维向量代表的人是男是女，放入决策数组中。
主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小风险贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。
(This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array .
All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions .
Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function .
Bayesian classifier )
- 2012-02-02 20:37:04下载
- 积分：1
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scattering
Display the analytic solution of the 2D Helmholtz equation for a dielectric cylinder (i.e. the scattered field and the transmitted field). You can specify the following parameters: radius, wave number outside and wave number inside the cylinder.
- 2010-11-08 02:44:08下载
- 积分：1
