GM1_1

MATLAB经典优化算法讲解很详细的matlab教程MATLAB classical optimization(MATLAB classical algorithm matlab tutorial explaining in detail MATLAB classical optimization)

matlab to zemax program

HMM,DBN Function matlab tool box

包含各种常见的MATLAB程序，如图像去噪、图像识别、RBF神经网络的训练，三次样条插值、求解线性方程组等几十个程序。(MATLAB contains a variety of common procedures, such as image denoising, image recognition, training RBF neural networks, cubic spline interpolation, linear equations, such as dozens program)

lfm 脉冲压缩雷达 覆盖干扰MATLAB仿真(lfm radar cover jamming)

子空间拟合类算法WSF的一种改进算法MVP，用于DOA估计。(Subspace fitting-like algorithm WSF An improved algorithm for MVP, for the DOA estimation.)

数字图像处理 Hopfield网络定义 MATLAB程序编写(the definition of Hopfield)

AdaBoost元算法属于boosting系统融合方法中最流行的一种，说白了就是一种串行训练并且最后加权累加的系统融合方法。 具体的流程是：每一个训练样例都赋予相同的权重，并且权重满足归一化，经过第一个分类器分类之后， 计算第一个分类器的权重alpha值，并且更新每一个训练样例的权重，然后再进行第二个分类器的训练，相同的方法....... 直到错误率为0或者达到指定的训练轮数，其中最后预测的标签计算是各系统*alpha的加权和，然后sign（预测值）。 可以看出，训练流程是串行的，并且训练样例的权重是一直在变化的，分错的样本的权重不断加大，正确的样本的权重不断减小。 AdaBoost元算法是boosting中流行的一种，还有其他的系统融合的方法，比如bagging方法以及随机森林。 对于非均衡样本的处理，一般可以通过欠抽样(undersampling)或者过抽样(oversampling)，欠抽样是削减样本的数目， 过抽样是重复的选取某些样本，最好的方法是两种进行结合的方法。 同时可以通过删除离决策边界比较远的样例。 (AdaBoost boosting systems dollar fusion algorithm is the most popular one, it plainly systems integration approach is a serial train and final weighted cumulative. Specific process is: Each training example is given equal weight, and the weights satisfy normalization, after the first classifiers after Calculating a first classifier weights alpha value for each sample and updates right weight training, and then the second classifier training, the same way ....... 0, or until the specified error rate training rounds, wherein the label is the calculation of the final prediction system* alpha weighted and then sign (predicted value). As can be seen, the training process is serial, and weight training examples is always changing, the right of the wrong sample weight continued to increase, the right to correct sample weight decreasing. AdaBoost algorithm is an element, as well as other methods of boosting popular systems integration, such as bagging and random forest method. For )

说明：  人工势场法避障 实现从势能高出往低处运动 ，实现路径规划 和避障(artificial potential)

详细的介绍了VC和matlab之间的编程接口，让你的VC里面轻松的调用Matlab的函数，我觉得很好，强烈推荐给大家(Detail between the VC and matlab programming interface, allows you to easily inside the VC call Matlab function, I feel very good, strongly recommended to everybody)