-
RSRBootstrap
自举粒子滤波器和改进后的自举粒子滤波器的比较应用(Bootstrap particle filters and improved bootstrap comparison of the application of particle filters)
- 2009-05-20 21:08:04下载
- 积分：1
-
tmcgm
说明： 基于泰勒级数的灰度预测，这个里面的好多东西都写成了函数(Taylor series based on the gray prediction, the inside of a lot of things written in the function)
- 2008-09-20 23:29:28下载
- 积分：1
-
md2dfluid2
matlab数学软件用于分子晶格成长模拟的例行程序(the matlab mathematical software for molecular lattice growth simulation routine)
- 2013-04-01 18:20:46下载
- 积分：1
-
lpc
主要是针对音频求其线性预测系数在重构音频的程序(Mainly for audio and the linear prediction coefficients reconstructed audio program)
- 2013-04-30 23:47:37下载
- 积分：1
-
pt_line
固高控制卡程序,pt控制方式,需要的可以下载看看.(Googol control card program)
- 2013-12-01 21:58:24下载
- 积分：1
-
GSM01_cost
SFWEC WDSOW EWIKC ERWNWFEQWFD FWEF
- 2013-03-18 10:59:43下载
- 积分：1
-
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
-
bubble
create bubble using matlab
- 2013-08-03 18:34:33下载
- 积分：1
-
FIR
一个简单的FIR滤波器实现编程，已经过调试，完全正确可用(A simple FIR filter programming, has been debugging, can be used entirely correct)
- 2009-01-08 15:19:13下载
- 积分：1
-
CCA
该程序的主要功能是实现典型相关分析算法。(The program' s main function is to achieve a canonical correlation analysis algorithms)
- 2012-06-13 21:43:27下载
- 积分：1
