用于分类的一个工具箱，内含支持向量机、神经网络、主元分析、多变量样条等方法的matlab源代码，还有用户手册。...

人工智能中的全局搜索的九宫问题用VC实现 这下九宫问题的三种搜索方法都齐了-artificial intelligence of the global search JiuGongTu problems with VC JiuGongTu this issue under the three search methods are here

matlab编写的遗传算法，采用二进制编码，有说明文档。-Matlab prepared by the genetic algorithm, using the binary coding, documentation.

调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB(DP, test_targets, CM) DP，三维数组，(i,j,k)为第k个样本的DP矩阵 targets 为 0 1 2 -process called CM = Confusion_matrix (train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB (DP, test_targets, CM) DP, three-dimensional array (i, j, k) for the k samples of DP matrix targets for 0 1 2

用遗传算法实现任务分配优化的源程序。-genetic algorithm optimization task allocation of the source.

我做的的八数码游戏！！学人工智能的用vc编写的-the eight digital game! ! Using artificial intelligence study prepared by the vc

最新开发的小波融合算法实现VC程序。非常好用。-latest development of the wavelet algorithm VC fusion procedures. Very handy.

人工智能中重要的一个问题, 用广度优先搜索的方法解决-AI an important issue, breadth- first search of solutions

高性能交流伺服系统及其复合控制策略研究，浙江大学博士论文。 关键词:交流伺服系统，矢量控制，直接转矩控制，复合控制，PID控制，GA，IGA，模糊控制，切换控制，协调控制-High Performance AC Servo System and its Advanced Mixed Practical Control Strategy.Thesis of Zhejiang University. Keywords:AC servo system, Vector Control, Direct Torque Control,Combined Control, PID Control, GA, IGA, Fuzzy Control, Coordinating Control.

改程序实现UB算法，对Web日志文件进行分析，产生相似度矩阵-reform program UB algorithm, the Web log file analysis, the similarity matrix produced

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