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yxcSVMtrain
irisData is 150x5.
row:
Sepal.Length Sepal.Width Petal.Length Petal.Width Group(1,2,or 3)
the first 50x5 is Isis-setosa(1),
the second 50x5 is Isis-versicolor(2),
the last 50x5 is Isis-virginica(3).
!!! Caution !!!
X(50 + 21, :) equals X(50 + 50 + 27, :), but Y(50 + 50 + 21) DOESNOT equal Y(50 + 50 + 27)!
So the algorithm will NEVER be 100 correct.
- 2010-07-26 18:34:43下载
- 积分：1
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mohu
模糊控制仿真模型，在simulink 里已成功试验，主要用来控制自动导航。(Fuzzy control simulation model has been successfully tested in simulink where mainly used to control the automatic navigation.)
- 2013-12-04 14:49:33下载
- 积分：1
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HuffMan
实现hufman功能，能将任何输入的文本转化为二进制文件(Achieve hufman function, can enter text into any binary file)
- 2013-05-26 17:38:24下载
- 积分：1
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prac1-tds
Source code for digital signal processing, with files to calculate autocorrelation.
- 2011-08-17 16:42:16下载
- 积分：1
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An-Efficient-Resource-Allocation-Strategy-for-Fut
Image processing ..
this is most important application in image processing and communication engineering and have a lot of steps towards MATLAB controlling functions ss
- 2015-02-26 19:00:47下载
- 积分：1
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Meucci_MCA
Copula-Marginal 算法，他可以生成风险和资产投资组合连接函数。
(Copula-Marginal algorithm)
- 2011-12-26 16:34:32下载
- 积分：1
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STEEP
一个最速下降的开发, matlab的代码示例。希望对大家有所帮助(steepest descent)
- 2009-06-05 16:16:04下载
- 积分：1
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biaozhunchengxuyuandaima
标准程序源代码标准程序源代码标准程序源代码(biao zhun cheng xu yuan daima)
- 2011-05-09 10:43:53下载
- 积分：1
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EM_GM
％ EM algorithm for k multidimensional Gaussian mixture estimation
％
％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ maxiter - maximum number of iteration allowed ([] for none)
％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
％
％ Ouputs:
％ W(1,k) - estimated weights of GM
％ M(d,k) - estimated mean vectors of GM
％ V(d,d,k) - estimated covariance matrices of GM
％ L - log likelihood of estimates
％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)
- 2008-04-27 15:51:27下载
- 积分：1
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1
说明： 实现PCA和KPCA，LDA，fisher对故障的诊断，有很好的效果。(Realize PCA and KPCA, LDA, fisher on fault diagnosis, a very good effect.
)
- 2012-08-31 23:21:00下载
- 积分：1
