改进的SFLA（混合蛙跳算法）SFLA Func

光伏电池板地Matlab/Simulink模型，可以模拟光伏电池板的功能(Photovoltaic panels to Matlab/Simulink models can simulate the function of PV panels)

PSO和GA的结合，优化结果明显提升，PSO是粒子群优化算法，GA是遗传算法(The combination of PSO and GA improves the optimization results. PSO is a particle swarm optimization algorithm and GA is a genetic algorithm.)

svm分类器，主要用于雷达辐射源信号识别(Svm classifier, mainly used for radar emitter signal identification)

说明：  边缘提取源码，国内一高手写的，对计算机视觉等很有用，代码精炼(Edge source, the domestic one written by a master of computer vision and other useful code Refining)

Check is it eyelid or not

说明：  采用导纳圆法进行模态参数识别，该程序适合刚入门模态分析的人员学习交流(Admittance circle method is used for modal parameter identification. This program is suitable for people who have just started modal analysis to learn and communicate.)

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. )

《精通MATLAB最优化计算》一书的课件 第5章 MATLAB优化工具箱(Chapter 5 of the book courseware proficient MATLAB optimization calculation MATLAB Optimization Toolbox)

MIT-BIH心电数据库中包含有大量的心电信号，用户可以直接下载这些信号用于信号分析，算法验证等。但是其数据存储格式复杂，只能用其提供的工具包进行读取，很不方便。本源码可以直接读取MIT-BIH中的format212和format16格式的心电数据，免去了学习其繁琐工具包的过程。(MIT-BIH ECG database contains a large number of ECG signals, users can directly download these signals used in signal analysis, verification algorithm. However, the complexity of its data storage format, can only provide a toolkit to read, very inconvenient. The source can be directly read the MIT-BIH in format212 and format16 ECG data format, which eliminates the cumbersome tool kit to learn their process.)

this is pdf paper . i want to download codes with matlab