Matlab_tutorial_ppt

内梅罗插值函数，用于土壤污染程度的评价，可用性极强防止出现错误(The Nemerow interpolation function)

说明：  这是一个信赖域方法的程序，简单实用，对初学者非常有用。(This is a trust region method procedures, simple, practical, very useful for beginners. )

使用上跨和下跨零点的方法统计波高，波峰和波谷(Statistical wave height at the upper and lower spans)

可实现双馈风力发电机在并网过程中的网侧模拟(Can realize double fed fan grid connected simulation)

PDESELECT 手动选择和移动操作的图形界面偏微分方程工具(PDESELECT manually select and mobile operations graphical interface tool for partial differential equations)

在matlab环境下使用ACO蚁群算法解决TSP旅行商问题(In the matlab environment using ACO ACO algorithm to solve the traveling salesman problem TSP)

信号为两个正弦信号加高斯白噪声，用burg递推法对其进行功率谱估计，效果不错。(Signal for two sinusoidal signal plus Gaussian white noise, the recursive method burg its power spectrum estimation, good results.)

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)

清华老校歌，直接运行播放清华大学的老校歌，主函数是matlab中的sound,文件名和函数名要一致(The song of Tsinghua University)

圆桌模型matlab源代码，运用圆桌模型解决快速评卷问题的matlab仿真(The roundtable model matlab source code, the use of round-table model to solve the problem of fast marking matlab simulation)