channel_25996

描述Matlab的Simulink的模型创建方法和仿真方法，是学习Simulink的好资料(This file is write for the Simulink of Matlab)

pac method 4 data mining .

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

PI control simulation using matlab

matlab变成实现prony算法，自动提取符合信号中分量的频率、幅值、相位、衰减系数等参数，可以实现数据拟合(matlab become realized prony algorithms automatically extract the parameters frequency, amplitude, phase, in line with the signal attenuation coefficient component, you can achieve data fitting)

计算机日期时间显示 ， 将其变成彩虹图，颜色随时间变化(show date and time in your computer)

this program gives the idea about how image is represented in different plane in an 8bit mode.

一则3维带理想导体边界的FDTD算法实例，老外编写的，注释很明了(A 3-D with a perfectly conducting boundary FDTD algorithm instance, foreigners written comments are clear)

a project for pattern classification by ART neural network (with GUI).

在振动台试验后由测得的加速度值两次积分求位移(Acceleration of displacement)