pf-demo

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.)

说明：  遗传算法，基于二进制编码形式，用于解决优化问题，具有很好的全局优化效果。(genetic algorithm for optimization)

相场法的源程序，用于学习了解相场法，phase field model(Phase field method of source, used to learn the phase field method, phase, field, model)

说明：  IBR算法在图像匹配上的应用，我也在学习中(Image matching based on IBR)

说明：  一本介绍MAKE使用的书籍以及Make的编写(A description of books and MAKE Make use of the preparation)

说明：  数字信号处理，滤波，维纳滤波器，维纳—霍夫方程(Digital signal processing, filtering, Wiener filter, Wiener- Hoff equation)

这是一个用高斯赛德尔算法解方程组的实例。(Gauss_Seidel)

用MATLAB编程智能车的自动寻迹程序，让小车自动寻路(MATLAB programming intelligent automatic car tracing program, let the car to be automatic pathfinding )

Some Example Files Related to Dynamic Neural Network

遗传算法计算最短圈MATLAB算法，矩阵C是邻接矩阵，NC是迭代次数。(Genetic algorithm for computing the shortest path)