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A_Guide_to_MATLAB_for_Beginners_and_Experienced_U
This book is a short, focused introduction to MATLAB, a comprehensive
software system for mathematics and technical computing. It will
be useful to bothbeginning and experienced users. It contains concise
explanations of essential MATLAB commands, as well as easily understood
instructions for using MATLAB’s programming features, graphical
capabilities, and desktop interface. It also includes an introduction
to SIMULINK, a companion to MATLAB for system simulation.
- 2010-06-23 19:16:11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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zuida
用matalb进行ofdm的仿真，这个程序可以运行，简单明了(matalb used for the ofdm simulation, the process can run simple and clear)
- 2007-06-04 19:39:46下载
- 积分：1
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Language-signal-classification-
Bp神经网络实现语音信号的分类 效果十分好 值得参考(Language signal classification Bp neural network)
- 2014-12-08 13:56:03下载
- 积分：1
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test
This is the LEACH simple
- 2013-12-13 17:31:13下载
- 积分：1
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WSNexample
无线传感器网络仿真例子文件loadAndPrintNet.m，networksDB.mat，oneRoundWSN.m.需要用到图论工具箱grtheory(Examples of wireless sensor network simulation file loadAndPrintNet.m, networksDB.mat, oneRoundWSN.m. Need to use graph theory toolbox grtheory)
- 2014-01-22 11:21:50下载
- 积分：1
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kMean
matlab code (kMean.m)
used kMean, clusturing.
for Speech Recognition
- 2013-07-15 09:08:43下载
- 积分：1
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Kmeans
网上到处都是一维k均值聚类，而这是一个二维k均值聚类的代码，老外写的，说明较详细，稍加修改就可以融入自己的项目中。(Everywhere online one-dimensional k-means clustering, which is a two-dimensional k-means clustering code, written by foreigners, the more detailed, slight modifications can be integrated into the project.)
- 2013-01-27 16:27:13下载
- 积分：1
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Multivariate-prediction-model
多变量灰色预测模型算法的Matlab实现，一个网络流量模型与算法(Multivariate prediction model gray Matlab implementation of the algorithm, a network traffic model and algorithm)
- 2011-10-04 16:42:09下载
- 积分：1
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igig
the strategy of simulate and modelling wind energy
- 2014-11-06 21:15:06下载
- 积分：1
