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thesis
emd镜像延拓程序改进后的程序文档 只是对算法改进(the emd mirror continuation program)
- 2012-04-09 10:01:32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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byjc
边缘检测
基于matlab的图像边缘检测(Edge detection based on image edge detection matlab)
- 2008-01-21 21:56:50下载
- 积分：1
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matlab
MATIAB各种经典算法的程序，包括数据分析、绘图等等(MATLAB)
- 2009-05-07 14:48:43下载
- 积分：1
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byjc
说明： 边缘检测程序，有各种边缘检测算子，包括sobel等，自己写的源程序，共享(Edge detection process, a variety of edge detection operator, including sobel and so on, to write the source code, sharing)
- 2011-04-11 10:40:21下载
- 积分：1
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Intelligent-controller
PID控制算法简单、鲁棒性强，但其参数整定过程繁琐，整定时需要控制对象的精确数学模型，而且整定往往是针对某一种具体工况进行的，缺乏自学习和自适应能力。模糊神经网络则兼备了模糊逻辑和神经网络的优点，具有函数逼近功能，具有较强的自适应、自学习能力、容错能力和泛化能力。借助于遗传算法对全局性参数进行优化设计，借助于BP算法对局部性参数进行优化，将模糊神经网络和遗传算法引入PID控制参数的整定过程，构造出一种基于模糊神经网络和遗传算法的智能PID控制器(Intelligent controller based on fuzzy neural network and genetic algorithm)
- 2012-05-23 17:08:14下载
- 积分：1
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prt-1
pattern recognition part one toolbox for matlab
- 2011-08-11 05:49:24下载
- 积分：1
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DataGen
this runs a nonlinear dynamic analysis of a 4 story braced frame under earthquake loading
- 2011-08-29 16:33:10下载
- 积分：1
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danjidaolibaizhinengkongzhiqisheji
单级倒立摆智能控制器的设计并仿真以及结果(Single inverted pendulum intelligent controller design and simulation and results)
- 2010-05-15 10:22:51下载
- 积分：1
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Determine-the-FT-of-sequence-x
Determine the FT of sequence x(n)=R4(n) by Matlab, and plot the figure (Determine the FT of sequence x (n) = R4 (n) by Matlab, and plot the figure )
- 2011-05-21 23:11:51下载
- 积分：1
