Bayesian_Model_Comparison

让初学者可以更加容易了解PCA算法的基本运行过程(For beginners can more easily understand the basic operation process of PCA algorithm)

简单的贝叶斯分类器的Matlab实现，并提供了三个实例(Simple Bias classifier Matlab implementation, and provides three examples)

一篇关于“MATLAB环境下控制系统实时仿真实验的研究”的大论文，很详细。(Essay on " MATLAB environment control system for real-time simulation of a" big paper in great detail.)

Space-Time Codes and MIMO Systems，还有书中对应的源程序。(Space-Time Codes and MIMO Systems, also in the book correspond to the source.)

针对学校运动会进行记分统计的一个简单小代码(Games for schools to score a simple little code statistics)

to generate unimorm random numbers between 0 & 1 using lcm method

图像处理中的边缘检测和处理,保证图像恢复的噪声最小(image processing edge detection and processing, image restoration to ensure minimum noise)

CBCGPChartCtrl 简单使用，包括图片效果。(CBCGPChartCtrl simple to use, including pictures effect.)

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)

双闭环直流调速系统matlabsimulink仿真(double loop control sys.simulation)