MATLAB

demo Learning-Vector-Quantization

说明：  实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 (Experiment 1: Based on LMS Algorithm Apple- Orange classification issues Experiment two: TGF-based character recognition problem LMS algorithm Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem. 1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab 2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report)

节点在MATLAB下的部署，通信，以及能耗计算(Nodes deployed in under MATLAB, communications, and energy consumption calculation)

感知机算法(内含测试数据tic-tac-toe(三连棋游戏))(Perceptron algorithm (containing test data tic-tac-toe (three with chess games)))

matlab dfig for ssr study

采集单通道心电数据后量化，编码，并在屏幕上显示出来(Single-channel ECG data acquisition after the quantization, coding, and displayed on the screen)

共有5个m文件，用于求解旅行商问题，可动态显示求解最优路径过程，且有代码详细注释，对初学者尤为适用。(A total of 5 m file, used to solve the traveling salesman problem, you can solve the optimal path dynamically display process, and there is code detailed notes, particularly suitable for beginners.)

Tasks of the machine learning lessons

CMOS过采样ADC的MATLAB仿真设计 CMOS过采样ADC的MATLAB仿真设计(CMOS oversampling ADC the MATLAB simulation design of CMOS oversampling ADC MATLAB simulation design)

说明：  形成导纳矩阵的一个小程序，课程设计是做的，希望对你有用(Admittance matrix )