机器学习文本分类的SVM算法实现，VC++ 6.0环境下编译

粒子群算法程序集,应用于粒子优化处理!最新的算法.-PSO algorithm set, optimized for particle! The latest algorithm.

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.

仿真1：首先把网络温度参数T固定在100，按工作规则共进行1000次状态更新,把这1000次状态转移中网络中的各个状态出现的次数Si（i＝1，2，…，16）记录下来 按下式计算各个状态出现的实际频率： Pi=Si/∑i=1,NSi=Si/M 同时按照Bo1tzmann分布计算网络各个状态出现概率的理论值： Q（Ei）=（1/Z）exp（-Ei/T） 仿真2：实施降温方案，重新计算 采用快速降温方案：T（t）= T0/（1+t） T从1000降到0.01，按工作规则更新网络状态 当T=0.01时结束降温，再让T保持在0.01进行1000次状态转移，比较两种概率-a simulation : First of all network parameters temperature T fixed at 100 and, according to the rules for a total of 1000 to update the state, this state of the 1000 network transfer of all states for the number of Si (i = 1, 2, ..., 16) all recorded determined by the formula state-of the actual frequency : Pi = Si/i = 1, NSi = Si/M in accordance with Bo1tzmann distributed computing network of states all probability the theoretical value : Q (Ei) = (1/Z) exp (- Ei/T) Simulation 2 : implementation of cooling, re-using rapid cooling programs : T (t) = T0/(1 t) T dropped to 0.01 from 1000 and, according to the rules updated network state when T = 0.01 at the end of cooling, let T at 0.01 for the 1000 state tran

人工智能技术K均值算法，JAVA实现，有需要的下-K means algorithm artificial intelligence technology, JAVA realize there is a need to the next

基于CPN人工神经网络的例子，供大家交流-CPN-based artificial neural network example, for U.S. exchanges

A星算法+强启发函数解八数码问题，自带判断是否有解-A Star Algorithm+ strong heuristic function solution of 8 digital issues, bring their own to determine whether the broken

该程序代码实现BP网络函数逼近，适合初学者学习-The program code to achieve BP network function approximation, suitable for beginners to learn

C++实现神经网路的bp算法，初学者可以参考下 BP algorithm of neural network s achievement based on c++, maybe it is useful to a new learner-C++ Realization of bp neural network algorithm, beginners can refer to under the BP algorithm of neural network s achievement based on c++, Maybe it is useful to a new learner

机器博弈机器搜索算法的研究，做acm与人工智能的可以参考下-Machine Game Machine search algorithm research, acm to do with artificial intelligence can refer to the next

本程序模拟细胞的自我繁殖，你会看到一个柔软的细胞诞生在电脑屏幕上，然后随着各个分子的撞击，细胞开始分裂，经过一段时间的演化，这个细胞会在溶液中把自己复制，然后这个过程会继续进行……。这种自我复制是在人工化学的基础上进行，比起原来的基于细胞自动机的自我复制更加形象逼真-the cell simulation of self-reproduction, you will see a soft cell birth on the computer screen, and then with all the percussive elements, cell division, after a period of evolution, the cells in the solution themselves copied, and then the process will continue ... . This self-reproduction of the artificial chemical basis, compared to the original cell-based automatic machine self-replication more vivid