空间作战的C++实现的基于神经网络可以学习如何玩好。

Java Object Oriented Neural Engine是一个用Java写的神经网络框架。它由一个核心引擎，一个GUI编辑器和一个分布式训练环境组成。可以通过写新的模块来扩展它，以实现新的算法或始于基础组件的新的体系结构。-Java Object Oriented Neural Engine is a Java was the neural network framework. It consists of a core engine, a GUI editor and a component of distributed training environment. By writing new modules to expand it to meet new algorithm based components or starts a new architecture.

文件中包含某老师关于智能优化计算课程中的遗传算法部分的讲义，其中包含详细的例子及源代码。-File contains a calculation of the teachers on the intelligent optimization of the genetic algorithm curriculum part of the lecture, which includes detailed examples and source code.

利用双层感知器神经网络处理线性不可分的分类问题-use double perceptron neural networks to handle non-linear classification

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.

一段采用BP神经网络算法的欠驱动机械臂平衡控制器的程序-Section of the use of BP neural network algorithm balance the underactuated manipulator controller procedures

几篇关于混合遗传算法方面的好文章。-few mixed genetic algorithm on the excellent article.

一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的（一维或者二维）的离散网络上，并将保持相同性质的输入数据在映射到低维空间时的拓扑一致性。iris以及letter两个数据集进行分类-A competitive learning through self-organizing network for data dimensionality reduction and visualization of single-layer neural network model. Using this algorithm can be multi-dimensional input space is mapped to the low-dimensional (one-dimensional or two-dimensional) discrete network, and will remain the same as the nature of the input data is mapped to the low-dimensional space of topological consistency. iris as well as the letter the two data sets to classify

著名的神经网络工具箱，功能十分强大，里面包含了数十种神经网络算法的实例。-Well-known neural network toolbox, function very strong, which contains dozens of examples of neural network algorithm.

对于含有噪声的的数字图像模式“1、2、3、4”，使用“hopfield”神经网络，进行联想、识别，以去除噪声的影响。-for containing noise of the digital image model "1,2,3,4", "hopfield" neural network, Lenovo, identification, in order to remove noise impact.

模糊ISODATA聚类分析，可以模糊矩阵数据进行聚类分析-Fuzzy ISODATA cluster analysis can be fuzzy matrix cluster analysis of data