matlab遗传算法求解最优潮流

时间序列,指数平滑法,灰色GM(1,1)模型,运用最优加权组合模型和经验加权组合模型(Combination Forecast)

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)

说明：  利用改进的SIFT算法，对红外图像和可见光图像进行图像配准，效果较好。(A New Image Registration Method for ir and visible image)

说明：  有用得MATLAB讲义，对MATLAB初学者非常有用(MATLAB helpful handouts on MATLAB is very useful for beginners)

Matlab 二维离散余弦变换的图像压缩(Matlab dimensional discrete cosine transform image compression)

有关语音识别的系统，采用MATLAB对语音识别的具体实现过程进行仿真。(About speech recognition system, using specific implementation process of speech recognition MATLAB simulation.)

The newest code of Dynamical systems with applications using MATLAB

这是一个用于诊断故障的贝叶斯分类器，简单易用(bayes classification)

说明：  BP神经元遗传算法求解多输入与单输出的最优解案列(BP Neural Genetic Algorithms for Solving Optimal Solutions of Multiple Input and Single Output)

mimo无线通信系统的ZERO-FORCING 接收机的MATLAB实现。给出了仿真图形(MIMO wireless communication system receiver ZERO-FORCING realize MATLAB. Graphical simulation)