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BP反演
这是一个bp的神经网络反演的matlab程序(BPBPBBBBBBBBPPPPPPPPPPPPp)
- 2021-03-30 05:49:10下载
- 积分：1
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Diophantine
Diophantine 丢番图的求解，很经典，也很简单(Diophantine)
- 2009-09-22 17:32:33下载
- 积分：1
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modelchange
通过对颜色模型的转换来进行对图像进行处理与分析。(Color model of the conversion to image processing and analysis.)
- 2008-03-15 11:24:51下载
- 积分：1
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matlab-smallworld
小世界网络的matlab仿真文档，用于复杂网络研究(Small world network of matlab simulation document, used for complex network of research)
- 2020-10-09 21:07:40下载
- 积分：1
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PassGlassSphere
One program to simulation light passing through a glass sphere.
It is interesting and can be used in geometric optics.
- 2007-08-02 14:43:57下载
- 积分：1
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onedim
一种用于实现粒子滤波的matlab代码,带中文注释(A particle filter used to realize the matlab code, with English Notes)
- 2008-04-20 11:05:43下载
- 积分：1
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JULIEI
说明： 用MATLAB进行时间序列分析,聚类分析和启发式算法一些介绍。个人收集，很有价值(Using MATLAB to carry out time series analysis, clustering analysis and heuristic introduction. Personal collection, great value)
- 2009-08-15 23:00:56下载
- 积分：1
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XFEM
Extended Finite Element Code
- 2012-08-07 18:12:34下载
- 积分：1
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branch_algorithm
利用分支定届算法实现线性混合整数规划模型的求解（MATLAB代码）( using branch algorithm to solve the mixed integer linear programming model (MATLAB code))
- 2009-04-28 09:47:39下载
- 积分：1
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EM_GM
％ EM algorithm for k multidimensional Gaussian mixture estimation
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％ 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)
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％ 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
