matlab中运行

这是用VC实现的模糊控制算法，稍作处理可以达到自己的要求-This the VC fuzzy control algorithms, separate treatment can achieve their demands

关于 模式识别 中 C均值 和ISODATA 算法的C++实现 程序以一个二维的数据为例 真实的展现出两类算法的效果-implement C_Means and ISODATA algorith. Taking 2-D data foe example, show the effect of the two algoriths.

该程序是基于MATLAB环境的pso实现tsp问题-The program is based on the MATLAB environment, the issue of PSO realize tsp

这是表达支持向量机一个demo，可以帮助更好的理解svm-This is an expression of support vector machine demo, can help a better understanding of svm

五子棋是一种受大众广泛喜爱的游戏，这里介绍五子棋程序的数据结构、评分规则、胜负判断方法，重点分析了搜索算法，并在传统的博弈算法在五子棋应用中进行一些改进，从而使剪枝更有效，运算性能更好。改进包括：不使用closed表；改变棋盘搜索顺序；增加记录最大棋盘信息的指针。实验证明，这几点改进对提高效率有很高帮助。

JavaGenes is an evolutionary software system written in Java. It implements the genetic algorithm, simulated annealing, stochastic hill climbing and other search techniques.-JavaGenes is an evolutionary software system written in Java. It implements the genetic algorithm, simulated annealing, stochastic hill climbing and other search techniques.

应用PCA（主成分分析）进行人脸识别的matlab程序，有较高成功率-PCA (Principal Component Analysis) face recognition Matlab procedures, which have a higher success rate

自己编的遗传算法同BP神经网络结合的代码！并且在神经网络模型上进行多目标寻优，结果有doc文档详细说明！实现BP-GA多目标优化应用实例！-Own genetic algorithm with BP neural network combined with the code! And in the neural network model for multi-objective optimization, the result document has a detailed description doc! Realize BP-GA multi-objective optimization application examples!

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

人工智能中一个关于野人过河的小程序-AI Savage cross the river on a small procedure