make_truss

读写ply文件的matlab实现。Writes a mesh to a ply file and Reads a ply file (text format). ply files can be in binary format as well(Writes a mesh to a ply file (text format) wich can be read by PlyView from Cyberware and Scanalyze from Stanford University. Both are available for free. Reads a ply file (text format). ply files can be in binary format as well this function can read ply files in txt format only e.g. created by makePly.m.)

说明：  模糊控制器的设计不依靠被控对象的模型，而是依靠控制专家或操作者的经验知识。模糊控制的突出优点是能够比较容易地将人的控制经验溶入到控制器中，但若缺乏一定的控制经验，很难设计出高水平的模糊控制器。而且，由于模糊控制器采用了IF-THRN控制规则，不便于控制参数的学习和调整，使得构造具有自适应的模糊控制器较困难。 自适应模糊控制是指具有自适应学习算法的模糊逻辑系统，其学习算法是依靠数据信息来调整模糊逻辑系统的参数。一个自适应模糊控制器可以用一个单一的自适应模糊系统构成，也可以用若干个自适应模糊系统构成。与传统的自适应控制相比，自适应模糊控制的优越性在于它可以利用操作人员提供的语言模糊性信息，对具有高度不确定因素的系统尤为重要(Fuzzy controller design does not rely on the controlled object model, but on control expert knowledge or experience of the operator. Highlight the advantages of fuzzy control is the ability to more easily control the experience of people integrated into the controller, but if a certain lack of control experience, it is difficult to design a high-level fuzzy controller. Moreover, since the fuzzy controller using the IF-THRN control rules is not easy to learn and adjust the control parameters, making construction more difficult adaptive fuzzy controller. Adaptive fuzzy control refers to the fuzzy logic system with adaptive learning algorithm, which is to rely on the data information learning algorithm to adjust the parameters of fuzzy logic systems. An adaptive fuzzy controller with a single adaptive fuzzy system configuration, you can also use a number of adaptive fuzzy system structure. Compared with the traditional adaptive control, adaptive fuzzy control advantages is that it can tak)

基于交叉检验的PLS算法，400组样本建模，200组样本检验(based on the cross-examination of the PLS algorithm, 400 sample modeling, testing 200 samples Group)

MATLAB教程：有入门介绍，符号计算，数值计算，数组，可视化编程等等(MATLAB Tutorial: Getting Started with introduction, symbolic computation, numerical computation, arrays, visual programming, etc.)

nonnegative matrix factorization. This package contains the following files. README.txt example_1.m example_2.m nmf.m nnlsm_activeset.m nnlsm_blockpivot.m solveNormalEqComb.m

基于MATLAB神经网络，利用165期双色球数据建立预测模型网络(Based on MATLAB neural network using 165 color ball prediction model data network)

simple reduce features used in face recognition using PCA

武汉大学遥感信息工程学院MATLAB期末的大作业，对遥感影像进行处理并且进行统计求方差平均数，并绘制图像(Great job of Remote Sensing Information Engineering, Wuhan University MATLAB end of remote sensing image processing and statistical variance of the average demand and draw the image)

说明：  遗传算法 最优路线求解问题 机器人算法 单路径(the way of the best ,ues matlab )

用单纯形法解线性规划 根据单纯形法的原理，在线性规划问题中，决策变量（控制变量）x1，x2，…x n的值称为一个解,满足所有的约束条件的解称为可行解。使目标函数达到最大值（或最小值）的可行解称为最优解。这样，一个最优解能在整个由约束条件所确定的可行区域内使目标函数达到最大值（或最小值）。求解线性规划问题的目的就是要找出最优解。 (According to the principle of the simplex method, in linear programming problem, the decision variables (control variable) x1, x2,... X n value is called a solution, meet all of the constraint conditions of the solution of the called feasible solution. The objective function to achieve maximum (or minimum) feasible solution of the optimal solution is called. So, an optimal solution by constraint conditions throughout the feasible region determined the objective function to achieve maximum or minimum value). To solve the linear programming problem is to find out the purpose of the optimal solution. )