Particle-Swarm-Optimization-classify

MATLAB编程基础word版的教程，讲的很好！(Basic word version of MATLAB programming tutorial, pretty well!)

matlab经典算法的程序-优化问题 optimizing(classical algorithm matlab procedures- optimizing optimization problem)

自适应反步控制一类vanderpol-duffing机电耦合混沌系统，(AdaptiveBacksteppingControlofaNonlinearElectromechanicalSystemwithUnknownParameters)

这里是matlab的官方学习资料，对于初学者非常有用。(Here is the the Matlab official learning materials, is very useful for beginners)

用于svc分类， 用SMO实现SVC，并在UCI数据集Iris上进行实验,2. 可借鉴现成SVM软件包，实现回归分析。 (For svc classification, using SMO to achieve SVC, and in the UCI Iris data set on the experiment, 2. SVM can learn ready-made packages, to achieve regression analysis.)

Adaptive Composite Differential Evolution Algorithm 自适应复合差分进化算法(Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters)

径向基函数是一个取值仅仅依赖于离原点距离的实值函数，也就是Φ（x）=Φ(‖x‖),或者还可以是到任意一点c的距离，c点称为中心点，也就是 Φ（x，c）=Φ(‖x-c‖)。任意一个满足Φ（x）=Φ(‖x‖)特性的函数Φ都叫做径向量函数，标准的一般使用欧氏距离，尽管其他距离函数也是可以的。一些径向函数代表性的用到近似给定的函数，这种近似可以被解释成一个简单的神经网络，径向基函数在支持向量机中也被用做核函数。(Radial basis function depends only on the value of a real-valued function of the distance from the origin, i.e. Φ (x) = Φ (x ‖ ‖) or may also be the distance to any point c, c is called the center point , i.e. Φ (x, c) = Φ (xc ‖ ‖). Satisfy any one of Φ (x) = Φ (x ‖ ‖) characteristic functions are called radial vector function Φ standard Euclidean distance is generally used, although other distance functions are also possible. Some typical uses radial function approximation given function, this approximation can be interpreted as a simple neural network, RBF in support vector machines have also been used to make nuclear functions.)

说明：  医学图像分割的matlab程序，针对脑部肿瘤图像，使用水平集方法划分出肿瘤区域，内部包含测试程序(Medical image segmentation matlab program for brain tumor imaging, using the level set method into the tumor region, the internal test procedures include)

A GUI for load and record and ... speech signal and sketching spectrogram.

pdg.m:在多项式矩阵中，将矩阵元素对角化。pdiv.m：计算多项式矩阵除法(pdg.m: polynomial matrix, the matrix elements diagonalization. pdiv.m: computing polynomial matrix division)