mexopencv

This package realizes parallel processing on multiple coresmachines

一本关于matlab遗传算法的书, 相信对大家一定有用的。(this book is very useful for ga of matlab.)

Demo for the Fractional-Order Chaotic Systems (FOChS) - functions

基于加权整体最小二乘迭代算法，利用井壁同一截面特征点坐标序列，拟合煤矿井筒圆心的坐标序列和半径，监测竖井变形情况(Overall weighted least-squares iterative algorithm, using the same sequence of the wall section feature point coordinates, the coordinates of the center of mine shaft fitting sequence and radius shaft deformation monitoring)

采用matlab解决带时间窗的车辆路径规划问题(Using Matlab to solve vehicle routing problem with time windows)

采用身高和体重数据作为特征，分别假设二者相关或不相关，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则，将该分类器应用到训练/测试样本，考察训练/测试错误情况。-The use of height and weight data as the characteristics of the assumption that the two were related or not related to the normal distribution probability density is estimated under the assumption that the establishment of Bayes minimum error rate classifier, the decision-making rules have been written, the classifier is applied to training/test samples to study the training/testing error conditions.

项目旨在给与调制通信工程有兴趣的人相关的一些想法。后来，我想要上传我自己在这个网站上的沟通与相关的 matlab 项目，我觉得你很感激这个上传的文件，现在我还是在学习通信工程。非常感谢。

求解非线性方程组方法有经典算法以及近年来流行的遗传算法．牛顿法及其改进形式,但是此类算法的收敛性在很大程度上依赖于初始点的选择，对于某些非线性方程组容易导致求解失败 为了克服经典算法的缺点，设计了求解非线性方程组的混合遗传算法,但依然对方程组和编码方法有很高要求。PSO是受到鸟群或者鱼群社会行为的启发而形成的一种基于种群的随机优化技术。它是一类随机全局优化技术，通过粒子间的相互作用发现复杂搜索空间中的最优区域。该算法是一种基于群体智能的新型演化计算技术，具有简单易实现、设置参数少、全局优化能力强等优点。粒子群优化算法已在函数优化、神经网络设计、分类、模式识别、信号处理、机器人技术等许多领域取得了成功的应用。 本函数包带函数，测试函数与使用简介(Methods for solving nonlinear equations and the recent popular classical algorithm genetic algorithm. Newton s method and its improved form, but such convergence of the algorithm is largely dependent on the choice of the initial point, for some nonlinear equations solved easily lead to failure In order to overcome the shortcomings of classical algorithms designed for solving nonlinear Equations hybrid genetic algorithm, but still on the equations and the encoding method has high requirements. PSO is social behavior by birds or fish inspired the formation of a population-based stochastic optimization techniques. It is a class of stochastic global optimization technique, through complex interaction between particles found in the search space optimum area. The algorithm is a novel based on swarm intelligence evolutionary computation techniques, with a simple and easy to achieve, set few parameters, global optimization ability, etc.. Particle swarm optimization in function optimizatio)

说明：  数学建模中的程序编写，矢量数据的显示，达到建模过程中用户的需求(Programming in the mathematical modeling and display of vector data, to the needs of users in the modeling process)

基于核的学习方法SVM(Support Vector Machine)有很好的分类识别性能，这是在SVM的基础上改进的一个更好的SKM(Support Kernel Machine)Package.(kernel-based learning methods SVM (Support Vector Machine) are good the classification performance, This is the SVM improved on the basis of a better SKM (Support Kernel Machi ne) Package.)