matlab-example

遗传算法优化一或者多维函数 算法简洁 实用性强 并附有仿真实例(GA )

说明：  下面的程序是求多项式y=x^6-10x^5-26x^4+344x^3+193x^2-1846x-1680在区间[-8,8]的最小值，误差不超过0.001。对于这个复杂的多项式，可先用matlab绘制函数的大概曲线，确认函数的最小值大概处于[-8,8]之间，再用本程序求出精确解。 (The following procedure is a polynomial y = x ^ 6-10x ^ 5-26x ^ 4+344 x ^ 3+193 x ^ 2-1846x-1680 in the interval [-8,8] of the minimum error is not more than 0.001. This is a complex polynomial, can first draw function with matlab about curves, to confirm the function of the minimum are probably in [-8,8] range, and then find the exact solution of this program.)

Tiva C 123 Application projects

dqo axis to a-b-c axis

we determin a chaos mode and alyalize the time application to find if its really chaos and will have the character

输入信号与输出信号进行对比，并给出均方误差曲线(Input and output signals are compared, and the mean square error curve is given)

各种基本matlab实例精讲，以及详细的关于DFT的设计及其算法(Examples of basic matlab succinctly, and detailed design of algorithms for the DFT)

自己编的5种调制信号，STM32制作的MP3的全部资料，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块。( Own five modulation signal, STM32 all the information produced by the MP3, PV modules contain, MPPT module, BOOST module, inverter module.)

人工鱼群算法是李晓磊等人于2002年在动物群体智能行为研究的基础上提出的一种新型方盛优化算法，该算法根据水域中鱼生存数目最多的地方就是本水域中富含营养物质最多的地方这一特点来模拟鱼群的觅食行为而实现寻优。算法主要利用鱼的三大基本行为：觅食、聚群和追尾行为，采用自上而下的寻优模式从构造个体的底层行为开始，通过鱼群中各个体的局部寻优，达到全局最优值在群体中凸显出来的目的。 这是一个鱼群算法的案例，希望大家可以有所收获(Artificial fish swarm algorithm is a new fangsheng optimization algorithm proposed by li xiaolei et al. on the basis of the research on intelligent behavior of animals in 2002. This algorithm simulates the foraging behavior of fish swarm according to the characteristics that the place with the largest number of fish survival is the place with the largest number of nutrients in the water area.)

Computing GLONASS accuracy (without statistic)