bubble-improve

说明：  模拟退火GUI演示，利用模拟退火算法求全局最大值最小值(Simulated annealing GUI demonstration, the use of simulated annealing algorithm seeking the global maximum value of the minimum)

扩频通信，从电磁波利用来看，与一般现有的常规通信方式完全不同。扩频通信利用伪随机编码把信息数据（窄带信号）的频谱进行扩展，形成宽带的低功率谱密度信号发射，使用不同的伪随机序列编码，不同通信用户可在同一频段、同一时间工作，互不影响或干扰极小地进行通信。(Spectrum, from the electromagnetic waves used term, and the general existing conventional means of communication is entirely different. Spread spectrum communication using pseudo-random code to the information data (narrowband signal) to extend the spectrum, the formation of low-power spectral density broadband signal transmission, using different pseudo-random sequence of coding, different communication users at the same frequency band, at the same time work, mutual does not affect or interfere with a very small way to communicate.)

classification d image avec l algo FCM

几种beds的计算方法,matlab仿真rev,欢迎分享(Several beds of the calculation method, matlab simulation rev, welcome to share)

说明：  这是国外一个PLS工具箱，还有GUI，非常方便，包括了iPLS、biPLS、MWPLS等常用PLS方法(This is a PLS Toolbox abroad, as well as GUI, very convenient, including the iPLS, biPLS, MWPLS and other commonly used methods PLS)

A NEW TOOLBOX APPLICATION OF INDUCTION MACHINES DRIVES ADD TO SIMULINK MATLAB.

Parabolic Reflector Radiation Pattern

Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重： 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules: If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)

基于MATLAB图像处理的汽车牌照识别系统，希望对各位大大有些帮助啊啊啊啊(MATLAB image processing based on the vehicle license plate recognition system, we hope to you greatly helpful ah ah ah ah)

this code shows wsn and msn difference........................................................