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bayesianswarm
This code expains bayesian particle swarm optimization method.All files have been written on matlab 2007a. This method has been explianed with various benchmark functions. This optimization method can be directly compared with other unconstrained optimization method like GA or pso for effieciency and speed.
- 2010-06-30 16:30:25下载
- 积分：1
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ComputerMATLABUsingMatlab
Matlab book Engineering Matlab Programming Engineering Matlab Programming
- 2009-03-19 19:57:16下载
- 积分：1
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pnmabuhuol
GPS的pn码捕获matlab仿真程序，通过序列相关实现捕获功能(GPS-pn code acquisition matlab simulation program, through the serial correlation realize capture)
- 2008-05-07 11:09:06下载
- 积分：1
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shuxue_shiyan
提供了matlab的大量数学试验例子，给工程研究研究人员或者，数学建模的学生提供了很好的教程。(Provided a large number of mathematical tests matlab examples, to the engineering studies or research, mathematical modeling provide students with a good tutorial.)
- 2008-05-24 09:32:46下载
- 积分：1
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matlab-backgroud-recognize
matlab 与摄像头的接连，可以判定上下左右哪个区域的差异量更大。(matlab and camera compain, which can determine up 、 down 、left、right regional differences.)
- 2011-10-20 01:43:45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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Simpletwopathmultipthefadingchannel
Simple two path Rayleigh fading channel
- 2011-01-10 19:52:52下载
- 积分：1
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StatisticaLearning
关于统计学习理论的外国经典教材，但需要一定的数学功底，对进行机器学习研究等方面很有帮助(stactics)
- 2009-07-20 11:06:17下载
- 积分：1
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Unsupervised-optimal-FCM
Fuzz c-mean Clusterin technique
- 2012-02-10 15:14:11下载
- 积分：1
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mat-ditu
实现世界地图的显示，可以任意控制地图的显示范围，效果不错。(Achieve world map display, you can control the map display any range of effectiveness.)
- 2010-08-31 09:53:47下载
- 积分：1
