MATLAB6_5

BMA For estimation motion and Compensation (cont) ARPS

预测控制中的动态矩阵智能控制的源代码程序(The source code of the dynamic matrix predictive control, intelligent control procedures)

Basic of MATLAB and beyond

GLVQ neural network, this method is suitable for the two classification results of data processing

说明：  基于MATLAB的高压直流输电仿真模型，模型包含整流和逆变两个部分。仿真模型运行结果成功，波形良好。(Based on MATLAB, the HVDC transmission simulation model consists of two parts: rectification and inverter. The simulation model runs successfully and the waveform is good.)

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8PSK发射机系统的测试程序，经过4倍内插(8PSK tramsmitter)

texture analysis by using ANN

说明：  Lecture on Week number 4

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.)