daima

说明：  用遗传算法优化BP神经网络的初始权值与阈值.使用gaot与nntools(Use ga optimative the weight and bias of BP neural network.)

用于数学建模解决最短路径或者类似的优化问题(Mathematical modeling is used to solve the shortest path or similar optimization problems)

512点FFT程序，分10级蝶形运算完成。(512-point FFT program, sub-10 butterfly to complete.)

此程序代码为基于遗传算法的PID整定，利用MATLAB编程实现。该程序通过遗传算法实现参数寻优，是一种不需要任何初始信息并可以寻求全局最优解的、高效的优化组合方法。(this procedure code based on genetic algorithms for PID tuning, using MATLAB programming. The procedures through genetic algorithm optimization of the parameters. is a not need any initial information and can find the global optimum, efficient optimization method.)

说明：  kriging代理模型 进行近似计算的 可以自行改变参数(kriging approximate calculation agent model parameters can change their own-kriging surrogate model to approximate calculation can change the parameters)

m伪随机序列Matlab源代码，很不错，值得看看(m pseudo-random sequence Matlab source code, very good, we can look at)

说明：  编写程序：基类base，有一个私有数据成员n，派生类Derived公有继承基类base，Derived中新增加一个数据成员m(Programming: the base class base, there is a private data member n, the derived class Derived inherits the base class public base, Derived add a new data member m)

一种改进的自适应滤波器的状态估计，效果非常之好,是用MATLAB编写的，直接在matlab下运行就可以看到完美的滤波效果，自适应算法是sage—husa算法，较传统的滤波器有很大提高(An improved adaptive filter state estimates, the effect is very good, is written in MATLAB, directly in matlab running, you can see a perfect filtering effect, the adaptive algorithm is sage-husa algorithm, than the traditional filtering has greatly improved)

Finite Element for Total Variation Minimization

THIS PROJECT SIMULATION DC/DC BOOST CONVERTER, BUT IT IS NOT SIMPLE, THIS CIRCUIT ADD RESNANT CIRCUIT TO IMPROVE EFFICIENCY AND DECREASE IN LOSSES, WITH SIMULATION YOU CAN SEE HOW YOU CAN MEASURE THE EFFICIENCY.