defoucs 算法

为了选择神经网络的最好结构以及增强模型的推广能力，提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值， 白适应地生 成网络隐层结点，然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权 主。 SVR—NN有很 好的收敛性和鲁棒性，能抑制由于数据异常和参数选择不当所导致的“过拟合，’现象。将SVR—NN 应用到时间序列预测上。结果表明，SVR．NN预测模型能精确地预测混沌时间序列，具有很好的 理论和应用价值。(Abstract：To select the‘best’structure of the neural networks and enhance the generalization ability of models．a support vector regression neural networks fSVR-NN)was proposed．Firstly，support vector regression approach was applied to determine initial structure and initial weights of SVR．NN SO that the number of hidden layer nodes can be constructed adaptively based on support vectors．Furthermore，an annealing robust learning algorithm was further presented to fine tune the hidden node parameters and weights of SVR一ⅣM The adaptive SVR．NN has faSt convergence speed and robust capability．and it can also suppress the ‘orerfitting’phenomena when the train data ncludes outliers．The adaptive SVR．NN was then applied to time series prediction．Experimental results show that the adaptive SVR．ⅣⅣ can accurately predict chaotic time series，and it iS valuable in both theory and application aspects．)

Its valentine week..pass this to engineer girlfriend..nd she will more happy by looking into this cute valentine heart made in matlab..

relief 特征选择算法，用来约简数据属性。图像处理等(Relief feature selection algorithm is used to reduce data attributes. Image processing, etc.)

说明：  电力系统最小二乘法，状态估计，内涵14和30节点算例(Power System Least Square Method, State Estimation, Connotation 14 and 30 Node Examples)

数据模型归一化，模态振动，表示出两帧图像间各个像素点的相对情况，wolf 方法计算李雅普诺夫指数,粒子图像分割及匹配均为自行编制的子例程，复化三点Gauss-lengend公式求pi，包括数据分析、绘图等等。

Modulaç ã o AM Simulink

三相SPWM整流电路simulink仿真原代码(Three-phase SPWM rectifier circuit simulink simulation source code)

经典游戏超级马里奥，matlab *.m文件，已经验证可以正确运行并出现图形界面。(Classic game Super Mario matlab m file. It has been verified to run correctly and the graphical interface emerged.)

这个代码可以画出一个具有一定倾角的规则长城(This code can draw a certain angle with the rules of the Great Wall)

使用C++以及OpenCV实现的最小二乘法的平面拟合，以及应用平面拟合达到的图像背景去除,以及曲线拟合方法(Use C++ and OpenCV implementation of the least squares plane fitting, and the application reaches the image plane fitting background removal, and the curve fitting method)