train_bp_4

说明：  采用粒子群算法求解可靠性优化问题，程序用MATLAB编写(Using particle swarm optimization algorithm for solving the reliability problems, procedures used to prepare MATLAB)

matlab code with examples

基于3GPP 25.996 的简化SCM信道模型，可用来生成基于SCM信道的仿真实时的信道增益的产生，到达角 给出了拉普拉斯分布 均匀分布与标准的20个子径的分布三种不同的形式。(Based on 3 GPP 25.996 simplified SCM channel model, based on SCM channel can be used to generate a simulation of real-time channel gain, arrival Angle gives the Laplace distribution uniform distribution and standard 20 is a diameter of three different forms of distribution)

complex network routing based on the preferential probability as the scale-free features

各种电器元件标签inductor capacitor resister(Various electrical components labels)

说明：  计算机视觉的基本任务之一是从摄像机获取的图像信息出发计算三维空间中物体的几何信息，并由此重建和识别物体。这两者之间的关系就是由摄像机的几何成像模型来决定，即由摄像机的参数来决定。实现了张正友和tasi的matlab标定程序！(The basic tasks of computer vision is one of the images from the camera to obtain information from the calculation of three-dimensional geometric information of objects, and thus the reconstruction and object recognition. The relations between the two is by the camera model to determine the imaging geometry, that is to determine the parameters of the camera. Zhang is achieved and the Friends of the matlab calibration procedures tasi! )

stats 用于检验回归模型的统计量，有三个数值：相关系数r2、F值、与F对应的概率p.相关系数r2越接近1，说明回归方程越显著；F > F1-α（k，n-k-1）时拒绝H0，F越大，说明回归方程越显著；与F对应的概率p 时拒绝H0，回归模型成立.(stats for the test statistic of the regression model, there are three values: the correlation coefficient r2, F value, and F corresponds to the probability p. The correlation coefficient r2 more close to 1, note the more significant regression equation F> F1-α (k, nk-1) refused to H0, F the bigger shows the more significant regression equation F corresponds with the probability p refused H0, set up a regression model.)

PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames(PCA Face Recognition This package implements basic Principal Component Analysis in Matlab andtests is with grayscale portion of the FERET database. Images are notpreprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames)

Speach recognition in MATLAB. Digital signal processing

Solves the system of equations Ax = b = LRx