RamFunction

matlab经典算法程序,可以运行通过。很好的一个遗传算法。(GA)

基于2对Hilbert移相滤波器的无功功率测量方法(Based on phase 2 on the Hilbert filter method for reactive power measurement)

遗传算法求tsp问题及其matlab代码实现 主程序中有一rand( seed ,n) n 为某一整数, 这是设置随机数发生器的种子，这样实际上规定了随机数发生的方式，因此后面的随机数其实都是定下来的，这样所有人就可以看到同一结果, 可注释掉此行，那么每次的结果就不一定再相同了. (Genetic algorithm to solve the TSP problem and the matlab code to achieve A Rand main program ( seed , n) n as an integer, which is the setting of the random number generator seed, this actually provides a random number generating means, so the random number behind actually are determined, so that everyone can see the same results, can comment out this line, then each time the results do not necessarily the same. )

一个坐标系转换的类，参考系：WGS-84椭球体参数；功能：笛卡尔坐标系、大地坐标系、站心地平坐标系（线坐标形式）、站心地平坐标系（极坐标形式）之间的互相转换。(A coordinate transformation class reference system: WGS-84 ellipsoid parameters Function: Cartesian coordinates, geodetic coordinate system, Station Local coordinate system (line coordinates), Station Local coordinate system (polar form) of conversion between each other.)

最大似然（ML）准则和最大后验概率（MAP）准则，多机电力系统仿真及其潮流计算，采用的是脉冲对消法。( Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Multi-machine power system simulation and flow calculation, It uses a pulse of consumer law.)

基于 Matlab 的积分分离 PID 控制 算法及仿真 摘 要 MATLAB 是一种集数值计算、符号运算、可视化(flying car)

UltimateToolBox93代码、文档、例子(UltimateToolBox93)

这个Matlab程序实现最速下降算法。最速下降法是一种最基本的算法，它在最优化方法中占有重要地位.最速下降法的优点是工作量小，存储储变量较少,初始点要求不高；缺点是收敛慢，最速下降法适用于寻优过程的前期迭代或作为间插步骤，当接近极值点时，宜选用别种收敛快的算法. (The Matlab program to achieve the steepest descent algorithm. Steepest descent method is a basic algorithm, it occupies an important position in the optimization method. Advantage of the steepest descent method is the small amount of work, less storage reservoir variables, the initial point less demanding drawback is slow convergence, the steepest descent method for the optimization process of the early iterations, or as inserted steps are advised to use other kinds of fast convergence of the algorithm when close to the extreme point.)

this code extract dense samples for human action recognition

this project is my first project. this is simple game .