cat-map

方波源程序，简单的例子，主要对于初学者。(square-wave source, the simple examples, mainly for beginners.)

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.)

是关于无线定位的泰勒算法，我们大家可以共同商讨(Wireless location on Taylor algorithm, we can work together to discuss)

Mallat算法分解与重构程序，用db4小波(Mallat algorithm for decomposition and reconstruction process, using DB4 wavelet)

说明：  mallat关于grouplet的文章，内容非常详细，并有相关仿真(mallat on grouplet article, very detailed and relevant simulation)

PSO基本实现过程的详细演示，适合初学者进一步加深对理论的理解，推荐使用(A detailed presentation of the basic PSO implementation process, suitable for beginners to further deepen the understanding of the theory, recommended the use of)

linear elastic Fem analysis in materials

基于遗传算法的BP神经网络优化算法,Matlab代码。(BP neural network optimization algorithm based on genetic algorithm, Matlab code.)

半监督LFDA算法，内附demo例程,程序源自一片关于SELF的文献，希望大家研究探讨(Semi-supervised LFDA algorithm, containing demo routines, procedures derived from a literature about SELF, I hope you study investigated)

按上/下键修改LED数码管显示数值，输出D/A转换后的电压值，方案2(up and down key to change the dispay number and output a D/A voltage)