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本书从工程应用与实践的角度，对模糊推理与模糊控制系统作了深入浅出的介绍，并以多 个实例详细地介绍了模糊推理的学习及其在 matlab模糊逻辑工具箱中的实现，使得读者可以尽快地掌握模糊逻辑的内容与模糊控制的实现和使用。(Book from the point of view of engineering application and practice of fuzzy reasoning and fuzzy control system was introduced in simple terms, and Instances detailed description of the learning of the fuzzy inference in matlab fuzzy logic toolbox to achieve, so that the reader can grasp as soon as possible to implement and use of fuzzy logic and fuzzy control. )

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.)

这是一个2fsk的跳频系统程序，很有帮助的，(This is a 2fsk hopping system procedures, helpful,)

关于33节点的配电网潮流计算程序C++版本(Distribution network power flow calculation program of 33 nodes on the C version)

PROGRAM FOR YOUR USE

基于光流法的光流检测matlab算法，代码很详细，(Optical flow detection algorithm based on optical flow)

This matlab extracts text from car plates

说明：  光的干涉演示,呵呵合乎呵呵和呵呵呵呵54洋阿合格欢呼隔(optical interference demonstration with huh huh huh huh 54 and A qualified foreign separated cheers)

Exponential Decay Signal

支持向量机(SVM)与最小二乘支持向量机(LS-SVM)的核函数选择(Support vector machine (SVM) and least squares support vector machine (LS-SVM) kernel function selection)