cnotch

该文档介绍了ARMA模型在预测问题中的应用.(The document describes the ARMA model in forecasting applications.)

FEM code for Computational Code

关于MATLAB图形用户界面(GUI)初学者指导教程系列，有较详细的说明和指导(On the MATLAB graphical user interface (GUI) Beginners Guide series, has a more detailed explanation and guidance)

这个是无线传感器网络的DV-hop算法，对初学者很有用，可以看看。(This wireless sensor networks DV-hop algorithm, useful for beginners, you can see.)

请输入非递减的有序序列,输入-1结束,再输入一个数字，插入其中，按照从小到大的顺序进行排列，完成这个程序(Please enter a non-decreasing ordered sequence, enter-1 end, and then enter a number, into which, in ascending order of arrangement, complete this program)

说明：  各向异性材料的刚度矩阵计算M文件，适合初学者学习和运用(The stiffness matrix calculation m file of anisotropic material is suitable for beginners to learn and use)

说明：  bp神经网络用于分类的matlab程序，修改数值就可适用(bp neural network for classification matlab procedures can modify the application of numerical)

support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1(support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1)

读取压缩包中类似格式的txt文件绘制扇形包络图(Read txt file compression format similar to drawing package envelope fan)

Blood vessel segmentation for fuzzy and edge detection which is uesd to detect the blood vessels and find edges