一个简单的飞行射击类游戏,使用Visual C++引擎开发,已编译.

有关摄像头定标的C++代码，标定摄像头的12个参数-Related to camera calibration C++ Code, camera calibration parameters 12

关于细胞自动机的例子，希望有志于这领域的同仁研究-on Cellular Automata example, are interested in this area of research colleagues! !

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.

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.

细胞自动机的程序,关于细胞自动机如何实现的问题-Cellular Automata procedures on Cellular Automata how to realize the problem

用局部最优探索算法求解tsp问题。。。matlab编写。附有城市坐标用于检验。 -Using local optimization algorithm to explore the issue tsp. . . matlab prepared. Coordinate with the city for inspection.

我做的一个用matlab程序编写的BP算法，是是我毕设的一部分，程序运行绝对没有问题，欢迎大家指正。-I do a Matlab programming with the back-propagation algorithm, is part of a complete, running absolutely no problem, we are happy to correct.

有关支持向量机的一些用于测试和分类的MATLAB程序 希望对大家有用-Related to support vector machines for testing and classification of some of the MATLAB program useful for all of us hope

一个牛人的神经网络支持向量机程序,对于搞神经网络的朋友强烈推荐.第二部分-A wonderful program of svm code coming from a superman,and strong recommendation to someone who learn about pattern-recognition .The second part.

Matlab神经网络工具箱应用简介 神经网络已经在各个领域中应用，以实现各种复杂的功能。这些领域包括：模式识别、 鉴定、分类、语音、翻译和控制系统。 如今神经网络能够用来解决常规计算机和人难以解决的问题。我们主要通过这个工具箱 来建立示范的神经网络系统，并应用到工程、金融和其他实际项目中去。-Matlab neural network toolbox application profile neural network has been applied in various fields in order to achieve a variety of complex functions. These areas include: pattern recognition, identification, classification, voice, translation and control systems. Today neural networks can be used to conventional computers and people to solve difficult problems. We mainly through the toolbox to create a model of neural network systems, and applied to the engineering, financial and other practical projects.