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不错的规划的程序，matlab语言写的，适合对规划感兴趣的的初学者和编程人员。(Good planning process, matlab language written for the planning of interest to the beginners and programmers.)

一种时频变换方法—Margenau-Hil分布，用于信号时频分析。(A time-frequency transformation method-Margenau-Hil distribution for the signal time-frequency analysis.)

Bayesian Vector Autoregression using Bayesian estimation method

matlab decision tree

基于反向学习的PSO，在图像阈值分割中的应用(Reverse learning PSO-based application in image segmentation threshold)

风水火联合调度:建立兼顾联合运行系统经济效益最大和弃风电量最小的风-水-火联合运行系统多目标优化调度模型，基于优先配置风蓄联合发电系统，再优化常规火电机组出力的思路，综合考虑了风电不确定性对抽水蓄能机组的影响、风蓄联合运行系统对常规火电机组的影响以及多台常规火电机组的机组组合问题。(Wind and joint scheduling)

AT88 PROGRAMMER DIAGRAM

时兴的前推回代算法程序，可用于求解辐射状配电网三相潮流。(Forward-Backward Sweep algorithm for three-phase load-flow analysis of radial distribution systems.)

说明：  从方程组中消去一些未知函数及其各阶导数，得到只含有一个未知函数的高阶常系数线性微分方程(Eliminated from the equations of some unknown function and its first derivative, the only unknown function contains a higher-order linear differential equations with constant coefficients)

说明：  遗传算法 多目标优化算法，SPEA2 主要流程：1：首先初始化一个archive的集合P1，以及一个常用的population的集合P。设置P1的大小是N1，P的大小是N。初始的时候P1是空的，而P是已经初始化好的种群个体。 2：对P1进行评价，选出来里面的pareto front为1（下面用PF1来代替了）的个体，copy到P1中，如果PF1的数量大于N1的话，这个接下来再说，目前假定PF1的数量小于N1。(Genetic algorithm, multi-objective optimization algorithm, SPEA2 Main process: 1: first, initialize a set P1 of archive and a set P of popular. Set P1 to N1 and P to n. At the beginning, P1 is empty, and P is the initialized population. 2: Evaluate P1, select the individual whose Pareto front is 1 (Pf1 is used to replace it below), copy to P1, if the number of Pf1 is greater than N1, then let's talk about it. At present, it is assumed that the number of Pf1 is less than N1.)