exp2

自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。(Self-organizing maps model (Self-Organizing feature Map), that a neural network to accept outside input mode, will be divided into different regions, the regional input modes have different response characteristics, while the process is done automatically . The connection weights of neurons with a certain distribution. Nearest neurons stimulate each other, while distant neurons are mutually inhibitory, with a further some of the weaker stimulus. Self-organizing feature map method is a clustering method without teachers.)

这是一个混沌理论中重要的Lorenz映射的程序。通过曲线很容易看到奇妙的混沌现象(Chaos Theory important Lorenz mapping procedures. Curve it is easy to see the amazing phenomenon of Chaos)

matlab多电平拓扑三相电路仿真原理图，很实用(matlab multi-level topology of three-phase circuit simulation schematic, very practical)

金融数量分析：基于MATLAB编程第二版一书中自带源码，分享给大家(Financial quantitative analysis _ all source-based MATLAB programming second edition)

基于MATLAB编写的代码，采用小波阈值降噪的方法对采集的光谱信号进行滤波处理。可自行设定阈值，实现不同的滤波效果。(Based on the code written in MATLAB, using wavelet threshold noise reduction method for filtering spectrum signal acquisition process. You can set the threshold to achieve different filter effects.)

henon lyapunov graphics for a and b

均匀有理B样条插值拟合，数值计算算法，可用于计算机图形学、曲线曲面拟合等(Uniform Rational B-spline interpolation fitting，numerical algorithm that can be used for computer graphics , curve and surface fitting , etc. )

支持向量机(SVM)实现的分类算法源码[matlab](Support Vector Machine (SVM) classification algorithm realize the source [matlab])

14 BUS SYSTEM IEEE TEST DATA

在一个移动通信系统中，发射信号是一个未调制的音频x(t)=cos(2πft)，其中f=f0+fi。设标称载波为f0=1GHz，并设fi =512Hz。假定移动用户在一个繁忙的高速公路上距离基站l公里处的地方，从开始从每小时60公里的速度开始，其速度（在0.01秒的时间间隔内测量）以1/2的概率随机的增加或减少1/10公里每小时。试仿真移动用户在这2s的时间间隔内所接收到的信号(及其频谱)。接收信号可以表示为： y(t)=a(t)Cos[2π(fo+f1)(t-△t)] 式中 △(t)=d(t)/c 且 a(t)=k/d2(t) 在上面的表达式中d(t)是在t时刻基站与移动用户的距离，c是光速，△(t)是传播延迟，而a(t)是信号在t时刻的衰减，并假设在这2s内a(t)是一个常数。利用复低通等效模型来进行仿真。(In a mobile communication system, the transmitted signal is an unmodulated audio x (t) = cos (2πft), where f = f0+ fi. Let nominal carrier of f0 = 1GHz, and set fi = 512Hz. Assume that mobile users on a busy motorway station l kilometers place, starting the beginning of 60 kilometers per hour, the speed (measured in 0.01 second interval) to increase the probability of a random 1/2 or reducing 1/10 km/h. Simulation test signal which the mobile subscriber in the 2s time intervals of the received (and its spectrum). The received signal can be expressed as: y (t) = a (t) Cos [2π (fo+ f1) (t- △ t)] Where △ (t) = d (t)/c And a (t) = k/d2 (t) In the above expression, d (t) at time t is a base station and a mobile user s distance, c is the speed of light, △ (t) is the propagation delay, and a (t) is the attenuation of the signal at time t, and assuming that 2s within a (t) is a constant. Using complex low-pass equivalent model for emulation.)