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NNDESIGN
国外经典教材《神经网络设计》的演示程序NNARROW.W，非常经典、难得。本书书写非常优秀，演示程序同样如此。(Foreign classic textbook " Neural network design," the demo program, very classic, rare. This book is very good writing, presentation program the same way.)
- 2011-01-19 20:44:28下载
- 积分：1
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13
说明： 基于MATLAB的程序..利用蚂蚁算法求解TSP问题
(MATLAB-based procedures .. use ant algorithm to solve TSP problems)
- 2008-08-11 17:05:06下载
- 积分：1
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duibidu--yasuo
用matlab编程实现图像压缩及对比度的计算(Image compression and contrast calculation)
- 2014-04-15 15:34:52下载
- 积分：1
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workshop_part2
introdution of matlab part 2 and examples
- 2009-06-04 00:26:06下载
- 积分：1
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chengxu1
完整的维纳滤波器的MATLAB程序代码，带有解析(Wiener filter complete MATLAB code, with a resolution)
- 2011-05-04 14:04:49下载
- 积分：1
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variogramfit
断层插值函数代码，采用matlab软件环境编制(Fault code matlab interpolation function, the soft environment system
)
- 2013-11-27 23:30:51下载
- 积分：1
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MATALB-source
阵列信号处理相关代码，主要包含MUSIC，Capon，ESPRIT，GSC，LCMV等代码等(Array signal processing-related code, consists mainly MUSIC, Capon, ESPRIT, GSC, LCMV code, etc.)
- 2016-03-28 13:48:40下载
- 积分：1
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ssbin2mlab123
This is a m function to import Smartspice binary RAW file into matlab
- 2010-11-18 07:06:27下载
- 积分：1
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time-frequency-analysis
这是清华大学周红星教授关于时频分析的精彩论述！(This is the Tsinghua University, Professor Zhou Hongxing on time-frequency analysis of the wonderful discussion!)
- 2011-10-24 12:01:00下载
- 积分：1
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Minimum-Bayes-classifier-error-rate
这是模式识别中最小错误率Bayes分类器设计方案。
自行完善了在不同先验概率的条件下，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。
调用最小错误率贝叶斯分类器决策子函数时，根据先验概率数组，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。
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”，调用最小错误率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，就可以得到不同先验概率条件下错误率的统计。
(This is the minimum error rate pattern recognition Bayes classifier design.
Self- improvement prior probability in different 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 third step is to 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 .
Call the minimum error rate decision Functions Bayesian)
- 2012-02-02 20:33:06下载
- 积分：1
