Genetic Algorithm for the shortest path problem

本人编写的QR分解的神经网络算法，该算法用QR分解神经网络的隐含层矩阵，可以作为学术上的比较和分析。适合各种benchmark问题，本人还加了自动产生分类向量和自动适应各种函数的例子-I prepared the QR decomposition of neural network algorithm using QR decomposition neural network hidden layer matrix, can be used as an academic comparison and analysis. Suitable for a variety of benchmark problems, I also added automatically generated classification and automatic vector function to adapt to a variety of examples

支持向量机工具箱使用方法演示，讲述如何使用svm的工具箱。-Support Vector Machines to use the toolbox demonstration on how to use the toolbox svm.

标准微粒群算法源程序,该程序用于计算Goldstein-Price函数的函数最小值-Standard Particle Swarm Optimization source, the program used to calculate the Goldstein-Price function function of the minimum

人工神经网络- Artificial nerve network

this about the artificial neural networks which uses the back propogation method.-this is about the artificial neural networks which uses the back propogation method.

基本遗传算法源程序（基于基本遗传算法的函数最优化C程序）-Basic genetic algorithm source code (based on a function of the basic genetic algorithm optimization procedure C)

经典算法应用：神经网络算法的一个实际应用-Application of the classical algorithm: neural network algorithm, a practical application

基于单目手眼相机和激光测距仪，提出了一种尺寸未知的空间矩形平面的位姿测量算法。该算法不需要知道矩形平面 的G 个顶点的物体坐标，只需要知道它们的图像坐标、激光点的图像坐标和激光测距结果，就能够计算出尺寸未知空间矩形平 面在相机坐标系下的位姿，并且计算出矩形平面的尺寸。通过建立单目手眼相机和激光测距仪的数学模型，对该算法进行了验 证。实验结果表明，该算法是有效的，可以应用于机器人对空间物体的跟踪、定位以及抓取。-Monocular-based hand-eye cameras and laser range finder, a size of an unknown two-dimensional rectangular space Pose measurement algorithm. The algorithm does not need to know the G flat rectangular object vertex coordinates, they only need to know the image coordinates, image coordinates of laser points and the laser ranging results, we can calculate the size of the unknown space rectangular plane in the camera coordinate system bit posture, and to calculate the size of rectangular plane. Through the establishment of monocular hand-eye cameras and laser range finder of the mathematical model, the algorithm is verified. Experimental results show that the algorithm is effective, can be applied to the robot on the space object tracking, positioning, and crawling.

利用C＋＋语言开发的BP算法，并将其封装在类中，用户可以自己设定参数，实现对BP网络的训练。-use C++ language BP algorithm, which is encapsulated in class, users can set their own parameters to achieve BP network training.

遗传算法优化神经网络结构和链接权，采用浮点数编码-Genetic algorithm neural network structure and link the right to use floating-point encoding