Restoration

可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection This demo demonstrates 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.)

gui filter it is usefull for matlab app

rough fuzzy c means algorithm for clustering of data set

P and M class PMU examples for MATLAB

用matlab语言实现无线传感器网络LEACH算法，和其改进算法。并比较改进算法的优点。(Matlab language implementation wireless sensor network LEACH algorithm, and the improved algorithm and compare the advantages of the improved algorithm)

5层3跨弹性框架结构21变量复杂ANN网络建模，同时蒙特卡洛模拟可靠度指标(5 layer 3 inter-elastic frame structure 21 variable complex the ANN network modeling, Monte Carlo simulation reliability index)

L-M,BP网络算法，用matlab语言编译(LM, BP network algorithm with matlab compiler)

Auto correlation function for Rayleigh channel

Optimum MUD for DS-CDMA in Multi-Path Fading Channel 2 USERS( Optimum MUD for DS-CDMA in Multi-Path Fading Channel 2USERS)

document for libsvm in matlab, for svm classsifier