cwstd

linedata 33bus distribution system

单端频域法故障测距程序，采用零序电流相位修正法，精度较好(The single-ended fault location procedures using frequency domain method with good precision)

This demo explains the use of the advanced object oriented interface model. The model is the generic object which collects all relevant signals, parameters, options and functions related to an application of the LS-SVM. This interface is depreciated for the casional users because of the implicit nature: the distinction between in- and output vanishes. If one wants to use the full power of LS-SVMlab, one is recommended to go through this demo. The options can be divided in 5 classes, the general LS-SVM options the trainpoint administration, the options of the Conjugate Gradient algorithm the preprocess options and the encoding options. The demo shows how to control the preprocessing and the coding using the appropriate model. It is adviced to check carefully the model s options before starting the calculations.

a som application, for those who are new in neural network and matlab!

蚁群算法很好的一个MATLAB程序资料，希望大家支持(ACO)

Matlab基础及其应用教程，提供给matlab初学者，很好的教材(Matlab and its application tutorial, available to matlab for beginners, good textbooks)

结合PCA的尺度不变特征变换(SIFT)算法，旋转机械二维全息谱计算的实用例程，进行波形数据分析。( Combined with PCA scale invariant feature transform (SIFT) algorithm, Rotating Machinery dimensional hologram of practical spectrum calculation routines, Waveform data analysis.)

Space Vector PWM Saba implementation

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.)

传递矩阵法计算转子固有频率，大转子，prhol传递矩阵法(Transfer matrix method the rotor natural frequency, the greater trochanter, prhol transfer matrix method)