libsvm在matlab中的应用。把libsvm嵌入matlab中调用。

道路识别 人工智能方面的道路识别应用-road artificial intelligence to identify the road recognition applications

VC中利用人工智能解决八迷宫问题。这是一个很有趣的人工智能小程序，不妨试试看。-use artificial intelligence to solve eight problems maze. This is a very interesting small artificial intelligence procedures, it may try.

Machine Learning Weka 数据变换，给Arff文件加载权值，变换为XRFF文件。-Machine Learning Weka data transformation to Arff file to load the right value, transform paper to XRFF.

经典的人工智能问题 - iris数据分析问题。通过设计三层bp神经网络对花朵数据进行分类识别，并达到了很好的效果。-classic AI problem- iris data analysis problems. Three-bp through the design of neural networks classify data flower identification, and to achieve good results.

pso 粒子智能优化算法，C语言实现。欢迎下载。-Intelligent Optimization Algorithm pso particles, C language. Welcome to download

介绍了根据三菱FX系列PLC编程口通信技术的特点,设计基于VB的PC与PLC机械手远程 控制程序.通过机械手监控系统软件的具体应用,系统地介绍了VB环境下的MSComm通讯控件 ,PLC与上位机的编程口通信协议,系统控制方法设计以及监控软件的实现过程.-Introduced acts according to Mitsubishi FX the series PLC programming mouth communication the characteristic, designs based on VB PC and the PLC manipulator remote control procedure. Through the manipulator supervisory system software s concrete application, introduced systematically VB under the environment MSComm communication controls, PLC and the

矩形件排样优化问题是一个多目标优化问题，另一方面要考虑到生产时的下料效率-Rectangular pieces of nesting optimization problem is a multi-objective optimization problem, on the other hand, taking into account the production efficiency of the next expected

C# 15数码算法，A star 函数实现 -C# 15 Digital Algorithm

这个代码是用lib-svm来实现svm分类器的，简单易懂，并且有详细的注释，对于刚刚接触SVM的初学者有很大的帮助，一看就能上手，我也是新手，所以应该还是很有帮助的。-This code is used to achieve lib-svm classifier svm, easy-to-read, and detailed notes, just contact SVM for the great help for beginners, a look will be able to start, I am also a novice, so it should be or very useful.

CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation