神经网络介绍的源码

机器人足球实现的核心代码-Robot Soccer realize the core code

这是用matlab编写的用遗传算法优化神经网络的程序-using Matlab is prepared by using genetic algorithm optimization procedures for neural networks

1、该工具包用于安装Lm和RBF两个神经网络工具包 2、直接运行LmNet.exe或_install.bat即可； 3、完成成功后，请将 binwin32 目前加至系统的 path中。 具体为：我的电脑-->属性-->环境变量-->将“binwin32”加至path路径中。-1, the tool kits for the installation and Lm 2 RBF neural network tool kits 2, or directly running LmNet.exe _install.bat can; Three complete success, I would be grateful if bin win32 increase to the current system which the path. Specifically : my computer-- gt; Attribute-- gt; Environment variables-- gt; "Bin win32" to increase path PATH.

用BCB编写的Kohonen程序做优雅的网格分布，将任意维的输入数据，简化为二维x，y平面，竞争学习最佳实践。

bp神经网络对短期电力负荷的预测，一周预测一天，输入是归一过的数据。-bp neural network for short-term load forecast, the forecast one day a week, enter the data have been normalized.

介绍了蚁群算法解决具体问题的优化算法，实践证明效果很好-on the ant colony algorithm for solving specific problems Optimization Practice has proved very effective

MATLAB的遗传算法工具-MATLAB genetic algorithm tool

本程序实现了多城市的tsp问题（即旅行商问题）的遗传算法-the process of multi-city tsp (ie, the traveling salesman problem) Genetic Algorithm

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.