matlab_qiufangchengdegen

通过这个程序可以利用matlab生成word和excel，希望对大家有帮助。(By this procedure can use of matlab generation word and excel, we want to help)

FCM1_1.m----------------------------二维随机数据聚类代码 FCM1_2.m----------------------------三维随机数据聚类代码( random data clustering code )

利用matlab和ug联合进行齿轮设计，先求解，再建模，思路很新鲜(Ug joint use matlab and gear design, first solved, and then modeling, very fresh ideas)

该程序能够将matlab中绘制的三维图形，动态化，并最终生成gif文件，原理是使用了getframe()函数，获取几帧图像，再保存为gif文件 (The program can draw matlab in the three-dimensional graphics, dynamic, and ultimately generate the gif file, the principle is the use of getframe () function, to obtain a few frames, and then saved as a gif file)

关于机器人舒适度区域的研究文章，外国人写的。(Comfort zone on the robot research articles written by foreigners.)

matlab 压缩包文件,基于时频分析的isar回波处理历程,基于时频分析的多分量现形调频信号处理- (matlab compressed package file, based on time-frequency analysis isar the echo processing history, based on time-frequency analysis of multi-component betray oneself FM signal processing-)

说明：  支持向量机的matlab具体用法，很好的一篇文档(Support vector machine matlab specific usage)

气力清选，用于联合收割机中谷物与混杂物的分离，风速与分离式宽度的关系曲线，风速与落地位置的关系(Strength of the selected )

非线性优化-matlab函数库-optimset.zip(Nonlinear optimization-matlab function library-optimset)

LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。(LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.)