FEEMD

simulation of neural network in matlab

matlab/simulink环境下仿真的异步电动机矢量控制，运行良好，基础系统，可供初学(matlab/simulink environment simulation of induction motor vector control, runs well, base system, for beginners)

说明：  MATLAB 代码的最小均方MMSE和最小二乘法LS算法的程序(MATLAB code MMSE minimum mean-square algorithm and the least squares procedure LS)

准源级联多电平光伏逆变器控制方法的研究 (In order to solve the problem of unreliability of wind generation system under rigorous environmen)

数字图像处理，实现图像分割，旋转，灰度变换(matlab digital image processing the image gray-scale processing, segmentation processing, rotation processing)

几个FDTD程序，对初学者很重要，很有参考价值。(Several FDTD procedure is very important for beginners, it is reference value.)

通常优化变量需要在制定的范围内选择，John D Errico开发了带有边界约束的最优化问题求解程序，并进行了改进(Optimization variables are usually required to develop a range of options, John D' Errico developed with the boundary constraints of optimization problem solving process, and an improved)

针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)

自己编写的迭带的阈值设定的方法.可以直接调用..这种阈值方法比较适合背景与前景差别比较大的情况. (I have written again and again with the threshold settings. .. This can directly call methods suitable threshold background and the prospect of relatively large differences.)

Genetic algorithm applied to transistor sizing