liegouzhuituzi51

matlab教学资料，很好的，一定对你有帮助的哦。(matlab teaching materials, very good, definitely help you, oh.)

SMO算法的Matlab实现，花了很大的力气才弄出来的！和大家分享！更多就在我的主页访问吧：http://huangbo929.blog.edu.cn(SMO algorithm Matlab, spent a lot of time and energy only get out! And to share with you! More on the home page I visit it : http://huangbo929.blog.edu.cn)

该程序采用harris角点检测，使用ncc进行初匹配，双向重复搜索后得到特征匹配点。(The program uses harris corner detection, using ncc conducted early match, after a two-way repeated search feature to get the matching point.)

针对智能车路径规划的问题，采用人工势场法进行智能车的路径规划，进而为智能车提供一条安全无碰的较优路径。本程序基于源程序进行了改动，松弛了迭代终止条件，避免智能车绕过目标无限探测下去。(Smart car for path planning problem, the use of artificial potential field of intelligent vehicle route planning, thereby providing a safe path for the optimum touch smart car. The program is based on the source code made changes, relaxation iteration termination conditions, avoid detection infinitely intelligent car rounded the target down.)

用于求一维，二维，三维的天线阵列的阵列因子，设计阵列排布，方位角俯仰角(planar array factor or linear array factor)

说明：  this .m file is about the gauss-newton iteration

matlab预测控制，基于灰色预测控制的matlab源代码(matlab predictive control based on gray prediction control matlab source code)

精通MATLAB 张志涌编著（Matlab入门经典教程），适用于初学者。(Proficient in MATLAB (Matlab Getting Started classic), suitable for beginners.)

说明：  本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 ( This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Because it has saved the trained network weights, so the first use of identification procedures, you can directly run \ \ Release directory of the executable files, and then tested on the images directory to read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may cause very low recognition rate. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the number of training samples as much as possible. )

说明：  一个MATLAB的应用程序，很方便的！使用时需要转换为M文件。(a MATLAB applications, a convenient! Use need to change for the M documents.)