soukeng_v26

voltage and current control loop pwm rectifier which work in open loop for traction systems.matlab simulink modal is aasigned with it.

说明：  这是一个基于Matlab的电力系统潮流程序！(This is a Matlab-based Power Flow program!)

在单频激光干涉仪的非线性误差中，运用细分计数方法对其进行修正，在存在高斯白噪声的情况下，采用传统的正切细分法和可修正误差的细分法来仿真比较。(In the nonlinear error of single frequency laser interferometer, the use of segmentation counting method, amending them, in the presence of Gaussian white noise, using the traditional method and the tangent subdivision subdivision errors can be corrected to simulate compare.)

image enhancement technique for removing noise from images using different filter methods. very useful for spatial domain image enhancement technique...

此函数实现蚁群算法，用于PID控制参数优化(The function realization of ant colony algorithm for PID parameters optimization )

采用傅立叶功率谱群聚类DNA序列的Matlab程序(Cluster DNA sequences using Fourier power spectrum)

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.)

一个神经网络，对100个分布在单位圆上的数据点进行分类。(A neural network, 100 distributed on the unit circle data points classification.)

说明：  本程序适用于一阶超静定问题，是一种三赶简单问题.(This procedure applies to first-order indeterminate problems is a three time for simple questions.)

一个运用模拟退火算法求解TSP问题的小例子程序(A simulated annealing algorithm for TSP small example program)