Porous

Nonlinear Optimization Applications

台湾大学的使用SVM方法进行线性回归、分类的MATLAB程序(National Taiwan University, the use of SVM method of linear regression, classification procedures of the MATLAB)

对于资料短缺的情况进行线性插值，并对差值之后的数据进行保存(For information shortage, linear interpolation)

Matlab个人学习编程的资料，带有题目，题目是英文的。附有结果图片(Individual learning Matlab programming information, with title, the title is in English. With the results of image)

matlab 求解非线性方程组的相关命令流，书籍为：MATLAB语言常用算法程序集龚纯, 王正林编著第10章(matlab )

说明：  学习MATLAB中的关系运算和逻辑运算，掌握它们的表达形式和用法。掌握MATLAB 中的选择结构和循环结构。学会用MATLAB进行M文件的编写和调用。 (Learning MATLAB relational and logical operations, control their expression in the form and usage. Master MATLAB selection structure and loop structure. Learn to write and call the M-file with MATLAB.)

FCM Data set clustering using fuzzy c-means clustering. [CENTER, U, OBJ_FCN] = FCM(DATA, N_CLUSTER) finds N_CLUSTER number of clusters in the data set DATA. DATA is size M-by-N, where M is the number of data points and N is the number of coordinates for each data point. The coordinates for each cluster center are returned in the rows of the matrix CENTER. The membership function matrix U contains the grade of membership of each DATA point in each cluster. The values 0 and 1 indicate no membership and full membership respectively. Grades between 0 and 1 indicate that the data point has partial membership in a cluster. At each iteration, an objective function is minimized to find the best location for the clusters and its values are returned in OBJ_FCN.

使用神经网络实现对函数sin(x1)/x1*sin(x2)/x2的模拟，代码为matlab代码，输入为二维数组，输出为一个数，结果误差为0.225左右,(Using neural networks to function sin (x1) Analog/x1* sin (x2)/x2, the code for matlab code, enter a two-dimensional array, the output is a number, the result error is about 0.225,)

增广递推最小二乘法系统辨识，包括阶次判定的过程(System identification, order determination)

一个简单的Matlab软件上完成的MRI脑图像的一个白质的分割，程序比较简单，可给初学者提供帮助。(A simple Matlab software to complete the MRI brain images of a white matter segmentation procedure is relatively simple and can provide help for beginners.)