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queuetest
使用信号灯(semaphore)，事件(Event)，临界区(CriticalSection)进行线程同步的例子( Uses the signal light (semaphore), the event (Event), the
critical zone (CriticalSection) carries on line regulation
synchronization the example )
- 2001-12-10 00:00:00下载
- 积分：1
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IrisSVMmulticlassall
利用M-SVM 对Iris数据及进行分类(The use of M-SVM and the classification of Iris data)
- 2011-08-31 20:16:33下载
- 积分：1
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flayback1
基于matlab/simulink的反激变换器仿真(Based on matlab/simulink simulation flyback converter)
- 2013-10-20 13:26:50下载
- 积分：1
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LIBSVM-to-do-regression-prediction
LIBSVM做回归预测 怎么用libsvm来做预测(The LIBSVM doing regression forecast predict how libsvm do)
- 2013-04-28 19:25:03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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本文档含两个m文件dial.m和 dijkstra1.m ，dial需要调用dijkstra1 matlab
本文档含两个m文件dial.m和 dijkstra1.m ，dial需要调用dijkstra1。(This document contains two m files, dial.m and dijkstra1.m. Dial needs to call dijkstra1.)
- 2020-06-19 00:20:02下载
- 积分：1
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fit_mix_gaussian
fit_mix_gaussian - fit parameters for a mixed-gaussian distribution using EM algorithm
format: [u,sig,t,iter] = fit_mix_gaussian( X,M )
input: X - input samples, Nx1 vector
M - number of gaussians which are assumed to compose the distribution
output: u - fitted mean for each gaussian
sig - fitted standard deviation for each gaussian
t - probability of each gaussian in the complete distribution
iter- number of iterations done by the function
- 2011-02-09 19:05:43下载
- 积分：1
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Numerical-analysis
numerical analysis for Godunov method
- 2013-04-22 04:23:38下载
- 积分：1
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Liutex
说明： 针对tecplot导出的dat（point格式）文件进行处理(program(matlab) for data file exported by Tecplot,the data structure is POINT.After process data file,load the new file in the Tecplot.)
- 2021-03-09 11:09:27下载
- 积分：1
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matlab-(8)
matlab编写的遗传算法，解决各种遗传算法问题，适合于建模的学生。(Genetic algorithm written in MATLAB, to solve the problem of genetic algorithm, suitable for modeling students.)
- 2014-08-13 20:49:52下载
- 积分：1
