Fig2a

说明：  HMC1022的中文资料,资料比较难找~~~~(HMC1022 the Chinese datasheet)

一种mos模型建立方法，现在十分流行，希望大家喜欢(NEGF)

说明：  含风电机组的配电网可靠性评估算法，用ARMA模型预测风速并确定风速分布(An algorithm for reliability evaluation of distribution network with wind turbines, ARMA model is used to predict wind speed and determine wind speed distribution)

Demo Test Demo Test

b站视频，压缩感知课程的讲义，初学值得一看(B station video, compressed sensing course notes, beginners are worth seeing.)

研究分岔软件,最全最强大的非线性系统动态分岔与混沌分析软件(Research bifurcation software, the most powerful dynamic bifurcation and chaos analysis software for Nonlinear Systems)

说明：  信号包络分析，对信号进行包络分析，求出上包络，和下包络信号(Analysis of signal envelope)

详细说明了python及matlab的特点，及其各自特点，并将其联合，进行编程。(A detailed description of the characteristics of python and matlab, and their respective characteristics, and their joint, for programming.)

Simulink仿真系统模块库,matlab中Simulink的使用方法，实例(Simulink system module library, matlab in Simulink using the method instance)

粒子群算法OptSwarm记录每个粒子的历史最优解（粒子历史最好的适应度）以及全部粒子搜索到的全局最优解。用Wg代表全局最优解，W.,1代表每个粒子的历史最优解。粒子群初始化阶段表OptSwarm的前N行与表ParSwarm中的相同，而Wg的值为表ParSwarm中适应度值的最大值对应的行。(Particle swarm algorithm OptSwarm record the history of each particle the optimal solution (particles history best fitness), and all the particles of the search to the global optimal solution. Use Wg represents the global optimal solution, w., 1 representative of each particle history to the solution. Particle swarm initial stage OptSwarm table before the line and the table ParSwarm N is same, and the value of the ParSwarm Wg for tables in the maximum fitness value corresponding line. )