DM5

应用MATLAB基于元胞自动机实现生命游戏的源码，(conway s life,matlab)

说明：  这是并联6自由度机构的位置反解、速度、加速度及动力学分析的代码(This is a 6-DOF parallel inverse position institutions, velocity, acceleration and dynamic analysis of code)

Entropy_Optimization for blind source separation

matlab裂缝图像分割，先进行二值化，后边缘检测，最后用ostu类方间法阀值分割。(crack matlab image segmentation, binarization first, after edge detection, and finally between ostu class threshold segmentation method.)

分数阶傅里叶变换的matlab编程，特别适合处理线调频信号(Fractional Fourier transform matlab programming, especially suitable for handling wire FM signal)

自己在学习GUI时的笔记，对初学Matlab中GUI的朋友很有帮助(GUI in learning when their notes in the GUI of Matlab beginner helpful friends)

二值灰度图像水印实验，matlab程序源码(Experimental binary gray image watermarking)

白光衍射很好的matlab仿真程序，可以运行实现的。(Bai Guangyan shoot good matlab simulation program can be run to achieve.)

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 program to practice