masin learning and mexicaan hot

香农编码,费诺编码,哈夫曼编码通用程序及它们的码字长度,平均码长,各自的编码效率计算.(Shannon coding, fee Connaught coding, Huffman coding common procedures and their code length, the average code length, the coding efficiency of their calculation.)

最小二乘支持向量机的一个小程序，非常简单，也很耗用(Least Squares Support Vector Machines, a small program, very simple and consumption)

用MATLAB编写的几个简单的GUI案例(Prepared using MATLAB few simple GUI Case)

对线性时变模型和非线性模型的预测控制算法进行了仿真分析，设计了两种模型下的模型预测控制的实现(Simulation analysis of linear time-varying model and nonlinear model predictive control algorithm)

说明：  虽然 AdaBoost 算法的检测速度快，误识率低，但是在样本的权重更新过程中，对于分类错误样本中的正、负样本没有加以区分，不利于提高正样本的识别率。本文提出一种新的权重更新方法，对于分类错误的样本，对判断错误的正样本给更高的权重，使得算法在下一轮迭代时，更加关注对分类错误的正样本的学习，从而提高对正样本（人眼）的检测率。采用基于最小二乘法对眼部的外轮廓进行椭圆拟合，根据拟合椭圆的参数来判断眼睛的睁闭状态；采用结合 PERCLOS 和眨眼频率的方法，对疲劳状态进行检测。(Although AdaBoost algorithm has fast detection speed and low false recognition rate, in the process of sample weight updating, there is no distinction between positive and negative samples in classification error samples, which is not conducive to improving the recognition rate of positive samples. In this paper, a new weight updating method is proposed, which gives higher weight to the positive samples of classification errors, so that the algorithm pays more attention to the learning of the positive samples of classification errors in the next iteration, so as to improve the detection rate of the positive samples (human eyes). Based on the least square method, the eye contour is fitted with ellipse, and the opening and closing state of eyes is judged according to the parameters of fitting ellipse; the fatigue state is detected by combining PERCLOS and blinking frequency..)

关于判决反馈均衡器的matlab仿真代码-On the decision feedback equalizer of matlab simulation code

Dynamic and steady state model of Dynamic and steady state model of Doubly fed induction generator back to back supply for wind energy power system using matlab

利用matlabGUI，在gui中编写驱动桥壳载荷计算主程序，(Using matlabGUI, write the main program for the calculation of drive axle casing load in GUI,)

转速环的MATLAB仿真，感觉效果 挺不错的。(MATLAB simulation speed ring, I feel very good results.)

基于贝叶斯工具箱BNT的隐马尔科夫简单模型，比较适合新手的学习(More suitable for novice learning a simple model based on the the Bayesian toolbox BNT hidden Markov)