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GA
说明： 通过MATLAB，采用遗传算法实现函数的最值的求取！！！(By MATLAB, using the genetic algorithm the value of the function of the most striking! ! !)
- 2009-09-17 20:23:41下载
- 积分：1
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linear-category
本程序主要是对线性判别函数分类器进行实现。(Linear discriminant function classifier achieved.)
- 2010-07-21 15:48:05下载
- 积分：1
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FDTD3D
FDTD _ 3D code in matlab
main structure of 3D fdtd code
- 2013-07-21 23:06:58下载
- 积分：1
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HRM
一篇HRM（Hybird Recrusive Matching)算法的介绍论文，可以用来生产视差图(a paper that introduces a HRM algorithm,which can be used to create disparity map)
- 2010-05-23 20:50:45下载
- 积分：1
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rayleigh_channel
一个很好的产生瑞利分布信道的matlab程序(Rayleigh channel matlab program)
- 2013-12-14 15:35:03下载
- 积分：1
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Cap10_TheDirectionalWirelessChannel
directional wireless channel
- 2009-04-07 12:11:09下载
- 积分：1
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melfilter
meifilter倒谱系数滤波器,欢迎大家使用(it s melfilter, welcome to download)
- 2010-11-16 16:43:31下载
- 积分：1
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SolarPanel
matlab simulink model of an uninterrupted power supply
- 2015-02-15 18:30:58下载
- 积分：1
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Reversible_Jump_MCMC_Bayesian_Model_Selection
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
(This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
)
- 2008-03-07 23:23:12下载
- 积分：1
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Matlab工具箱应用 苏金明编
说明： matlab工具箱教程，例子详解，界面，操作教程，通俗易懂(Matlab toolbox tutorials, examples, interfaces, operating tutorials, easy to understand)
- 2019-03-25 21:52:41下载
- 积分：1
