Lecture8_exc_2

利用纹理特征进行的特征提取的一个matlab程序(A code of matlab to extract tamura feature)

说明：  这有关于微分方程求解 的 比较实用的 用Matlab 进行编程实现(This is about more practical for Solving Differential Equations with Matlab, programming)

是一些网络相关的资料，对于学习很有帮助。有帮助就下载(good erythrocyte)

说明：  MATLAB code for calculation of laminate stiffnesses

说明：  核主成分分析方法是将主成分分析方法与核方法的有机融合，核心思想是通过引入核方法将输入空间的数据映射到特征空间，并在特征空间进行主成分分析，实现降维与提取非线性数据特征的双重目标。(The kernel principal component analysis (KPCA) is an organic fusion of principal component analysis (PCA) and kernel method. The core idea is to map the data from input space to feature space by introducing the kernel method, and carry out principal component analysis in feature space, so as to achieve the dual goals of dimensionality reduction and feature extraction of nonlinear data.)

《Matlab时频分析技术及其应用》(人民邮电出版社)第8章随书程序("Matlab time-frequency analysis technology and its applications" (People s Posts )

利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1]，第一层有10个tansig神经元(using MATLAB right neural network programming with newff () to the creation of a two-tier network. Network input range [-1 1], the first layer 10 tansig neurons)

这是最简洁，注释得最好的HOG(Histogram Oriented Gradient)算法的matlab实现。可用于行人识别和物体跟踪。(This code is well commented, which enables the adjusting of the HOG parameters. This code was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable Classifier-Fusion Schemes: An Application To Pedestrian Detection, In: 12th International IEEE Conference On Intelligent Transportation Systems, 2009, St. Louis, 2009. V. 1. P. 432-437.)

johnson-cook理论的umat程序，此程序可以带入abaqus，然后计算应力(johnson-cook umat code)

神经计算的MATLAB教程，包含常用算法实现及其原理，BP/HEBBIAN/SMO等等，神经计算专用(The MATLAB neural computing tutorials, including the commonly used algorithm, BP/HEBBIAN/SMO, etc., etc., dedicated neural computing)