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WLD
说明： WLD matlab code for image processing and pattern recognition
- 2020-03-11 03:39:30下载
- 积分：1
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matlabtut
Matlab tutorial which is very basic.I hope to upload my source code in future.
- 2009-04-22 08:39:29下载
- 积分：1
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OptUPFCConDe2
说明： matlab在电力系统中的应用，基于UPFC仿真程序(matlab in power system applications, based on UPFC simulation program)
- 2008-10-18 21:22:30下载
- 积分：1
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PROJETO_MAQUINA_INDUCAO
Induction machine project
- 2014-09-24 11:01:16下载
- 积分：1
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tuxiangfenkuai
这是对彩色图像进行分块的matlab代码，自己可以根据需要修改。(This is a color image is divided into blocks of matlab code, they can be modified as needed.)
- 2013-11-19 17:39:26下载
- 积分：1
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Matlab
说明： MATLAB六十个小程序教你学习matlab
(Sixty small MATLAB program to teach you to learn matlab)
- 2011-04-14 20:46:37下载
- 积分：1
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waveletnn352
关于小波神经网络的源程序，对研究小波神经网络非常有帮助(on wavelet neural network source, the study wavelet neural network has been very helpful)
- 2006-07-15 21:44:56下载
- 积分：1
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firefly
matlab code for Firefly Algorithm
- 2013-08-24 01:47:19下载
- 积分：1
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changfangtig
一个简单的求取长方体重力异常的程序，里头的参数数字 可以根据自己的情况更改(The simple strike the gravity anomaly cuboid program, inside the parameter numbers can be changed according to their own situation)
- 2013-03-09 18:34:48下载
- 积分：1
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gender-classification-experiments
这是用身高体重数据进行性别分类的实验。
用最小错误率贝叶斯分类器决策时，首先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，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。
用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。
(This is the height and weight data for gender classification experiment.
With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data .
Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate .
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- 2012-02-02 20:40:46下载
- 积分：1
