pv_input_voltage

微分方程数值解MATLAB程序代码珍藏版，一定要收藏！(Numerical Solution of Differential Equations MATLAB code Collector s Edition, be sure to collection! )

matlab神经网络43个案例分析源码11，关于连续Hopfield神经网络的优化—旅行商问题优化计算 (matlab neural network source code 11 43 case studies, optimization on a continuous Hopfield neural network- the traveling salesman problem optimization)

麦克风指向性调试源码，可用于麦克风指向性测试，对声学研究有用(Debug source directional microphone, directional microphone can be used to test for acoustic research useful)

matlab 50道练习题，有助于新手快速提高编程和应用能力(matlab 50 道 exercises to help novice programming and ability to rapidly improve)

QGA的原代码，你可以很快的上手进行编写你自己所有的程序，如果有什么困难可以联系我，谢谢！(QGA of the original code, you can quickly get started to write all your own procedures, if any difficulties you can contact me, thank you!)

基于easyX library的祝福烟花，可以给你的 TA 送去属于你自己的祝福烟花。(Blessing fireworks on easyX library, you can give your TA send your own blessings fireworks.)

说明：  利用粒子位置和速度的改变更新，在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真，并对仿真结果进行优化。(The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization of simulation results.)

Fuzzy logic model with 2 inputs, 1 output and 9 rules

用来正演超临界角情况下的地震反射特征，用来分析地震反射的AVO特征等领域。(Forward simulation of wide-angle Reflection uesd in AVO analysis. )

最小冗余最大相关性（MRMR）（MRMR.M） 需要外部库。详情请见MRMR。下载一个更新版本的互信息工具箱 偏最小二乘（PLS）回归系数（ReGCOEF.m） 使用MATLAB统计工具箱中的PLSReress ReliefF（分类）和RReliefF（回归）（ReleFracePr.M.） 从Matlab STATS工具箱中包装Releff.m。这是Matlab R2010B以后提供的。 ReliefF的另一个选择是使用ASU特征选择工具箱中的代码。这使用WEKA工具箱的ReleFEF，因此需要额外的库。请参阅相应的文档。 费雪评分（Fisher评分） 围绕ASFS特征选择工具箱围绕FSFisher。M(Minimum Redundancy Maximum Relevance (mRMR) (mRMR.m) Needs external library. See mRMR.m for details. Download a newer version of the mutual information toolbox Partial Least Squares (PLS) regression coefficients (regCoef.m) Uses plsregress.m from MATLAB statistics toolbox ReliefF (classification) and RReliefF (regression) (relieffWrapper.m) Wraps around relieff.m from the MATLAB stats toolbox. This is available MATLAB r2010b onwards. Another option for ReliefF is to use the code from ASU Feature Selection toolbox. This uses ReliefF from weka toolbox and hence needs additional libraries. Please see the corresponding documentation. Fisher Score (fisherScore.m) Wraps around fsFisher.m from the ASU Feature Selection toolbox)