zuidasiranguji_matlab

很好用，大家可以下载之后运行的看看，做向量机的。(Useful, we can run to see after downloading, do vector machines.)

全国大学生建模竞赛必备Matlab源码，包含多种数学处理函数。(The National Undergraduate Modeling Contest essential Matlab source code, contains a variety of mathematical processing function.)

这是根据韩京清的自抗扰控制技术书本编写的ADRC仿真程序，运用到坦克炮控系统上(This is according to Han Jingqing the ADRC ADRC technical books written simulation program, applied to the tank gun control system)

改进精英策略的遗传算法，应用在电动汽车领域(elitist-Genetic Algorithm,e-GA)

本书介绍了如何用matlab来做通信系统的仿真，对于理解和加强通信系统的构造有较强的指导意义！(This book describes how to simulate a communication system using matlab.)

关于灾情巡视路线问题的数学模型，利用的是Floyd算法以及Hamilton圈改良算法(a modeling about rounds of disaster，taking advantage of the Floyd algorithm and improved Hamilton circle algorithm)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

刘金琨教授编写的智能控制第二版的配套源程序(Professor Liu Jinkun written in intelligent control of the second version of the matching source)

这本关于元胞自动机的教材结合了matlab例程，讲解生动，读者朋友可以自己尝试建立自己的元胞自动机模型(This textbook on cellular automata combines the MATLAB routine with a vivid explanation that readers can try to build their own cellular automata model.)

广义的互相提取时延算法,此程序是基于matlab的源程序,适用于非高斯信号和高斯白噪声的情况(Generalized mutual delay extraction algorithms, this procedure is based on the matlab source, applicable to non-Gaussian signal and Gaussian white noise situation)