pingjun2_xiugai

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

Matlab图像各点坐标值和灰度值的表示，图像分割(Matlab image points coordinates and gray value representation, image segmentation)

说明：  用遗传算法解决旅行商问题，包括交叉，选择，变异和适应度函数计算等函数(in order to solve the problem of TSP, a GA algorithm is proposed, which including the cross, select, mutation.)

full modelling of wind farm in pscad emtdc for every one

用matlab所写的复杂网络所用的经典算法，如BA无标度网络，ER随机网络，WS小世界网络和NS小世界网络，以及最近邻耦合网络等matlab算法，可以修改参数，可以绘制复杂网络图形。在matlab中直接可运行。(Classical algorithm matlab written with complex network used, such as BA scale-free networks, ER random network, WS small-world networks and NS small world networks, and nearest neighbor coupling network matlab algorithm, you can modify the parameters, you can draw complex networks graphics. Can be run directly in matlab.)

说明：  两个用于图像处理的Matlab工具箱，OMPbox10和KSVDbox13，由于后者是要求安装前者的，所以就打包一起发上来了，下载一次就够了。(Two Matlab toolbox for image processing, OMPbox10 and KSVDbox13。 Since the latter requires the installation of the former, so packed together, so download once is OK。)

一次关于用matlab实现的信号处理的文章期刊，希望有所帮助。(Meeting on implementation of signal processing with matlab journal articles, I hope help.)

fdtd 计算二位电磁脉冲的源程序，脉冲为高斯脉冲

参数估计与假设检验案例分析与matlab实现，仿真运行，完整的材料(Parameter estimation and hypothesis testing case analysis and matlab implementation, simulation run)

图像的评价标准有熵、加权峰值信噪比、加权结构相似度、结构相似度、交叉熵、空间频率 这些都有是比较常用的判断标准(FusionEvaluation)