ID3算法及数据集

在状态转移规则的基础上，局部更新规则和全局更新的蚁群算法的规则，我们提出一个IM证明蚂蚁的最低成本的服务质量蚁群算法（QoS）的路径用于解决网络路由问题与延迟以及背包约束中进行模拟。约52.33％蚂蚁找到成功的QoS路由。并收敛到最佳。(based on the state transition rule，the local updating rule and the global updating rule of ant colony algorithm ，we propose an im proved ant colony algorithm of the least cost quality of service(QoS)unicast routing．The algorithm is used for solving the routing problem with delay．delay jitter．bandwidth，and packet lOSS constrained． In the simulation，about 52．33 ants find the Successful QoS routing ．and converge to the best． It is proved that the algorithm is efficient and effective．)

基于matlab的对运动目标的检测程序，可以实现固定背景下运动目标的检测(Matlab-based moving targets on the testing procedures, can be fixed against the background of the detection of moving targets)

最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. (The newest work tools of svm,it will be very convenient to have it.)

MATLAB6.5辅助优化设计与计算,飞思研发中心编著，电子工业出版社。2003.1(MATLAB6.5 assisted design and optimization, the idea fly produced research and development centers, electronic publishers. 2003.1)

带过滤作用的收缩因子例子群算法，解决了早熟问题(Example of the shrinkage factor with filter swarm optimization)

sound operations in matlab

pheromone levels of terms based on the quality of the best rule among the rules constructed improves the predictive accuracy for some datasets.

基于matlab开发的手势识别,里面有测试代码和图片 还有一个可以运行的.fig文件,可以直接运行的.并且同时分享了matlab的源码,效果很不错,可以学习和参考.相比C++开发的要简单易懂，可以通过代码了解手势识别的方法和原理，可以先学习matlab版的手势识别，再尝试编写C++和opencv版的。(Gesture recognition based on MATLAB development, there are test code and pictures and one can run the.Fig file, can be directly run. And at the same time sharing matlab source code, the effect is very good, you can learn and reference. Compared to the development of C++ is simple and easy to understand, can understand the principle and method of gesture recognition through the code, gesture recognition can learn the matlab version, and then try to write C++ and opencv version.)

fit_ellipse - finds the best fit to an ellipse for the given set of points.(fit_ellipse- finds the best fit to an ellipse for the given set of points.)

Kalman by Sid Meh constant velocity (filter)