classifier

1．本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数 2．演示程序以用户和计算机的对话方式执行，即在计算机终端上显示“提示信息”之后，由用户在键盘上输入演示程序中规定的命令；相应的输入数据和运算结果显示在其后。 3．测试数据 输入初始变量后用y=100*(x1*x1-x2)*(x1*x2-x2)+(1-x1)*(1-x1)其中-2.048<=x1,x2<=2.048作适应度函数求最大适应度即为函数的最大值 (1. This program demonstrates a simple genetic algorithm is a random population, then according to the crossover rate and mutation rate, fitness for calculating the maximum number of generations in which algebra 2. Demo program to computer users and the implementation of dialogue, that is displayed on a computer terminal " message" after the keyboard input by the user specified in the order demo program the corresponding input data and results in a subsequent operation. 3. Test data input with the initial variables y = 100* (x1* x1-x2)* (x1* x2-x2)+ (1-x1)* (1-x1) where-2.048 < = x1, x2 < = 2.048 ask for the maximum fitness function is the function of the maximum fitness)

使用matlab实现最小二乘算法，计算测量的待定点的精度(Using matlab to achieve least-squares algorithm to calculate the accuracy of measurement points to be determined)

RLS adaptive filter

用于绘制双曲地震同相轴，以便后续的处理工作，非常有用(draw hyperbolic events)

本文围绕压缩感知的三个基本问题, 从结构化测量方法、结构化稀疏表示和结构化信号重构三个方面对结构化压缩感知的基本模型和关键技术进行详细的阐述.(In this paper, the basic models and key techniques of structured compressive sensing are introduced in terms of the structured measurements, the structured dictionary representation and the structured signal reconstruction, which correspond to three basic aspects of compressive sensing.)

iris recognition using haar wavelet

Newton-Raphson Power Flow

基于matlab GUI界面的雷达仿真代码 具有丰富的参数选项 如目标个数，频率，脉冲宽度等 请首先运行radarSimulation.m(Matlab GUI interface based on the radar simulation code with rich options such as the target number of parameters, frequency, pulse width, such as first run radarSimulation.m)

模态叠加法求欧拉梁的振动响应，对于初学者非常有帮助(Modal superposition method of Euler beam vibration response, very helpful for beginners)

Classification codes and numbers in selected provinces to identify and correctly identify a license plate number that Used MATLAB software programming to achieve each part , finally to recognize license plates