清华大学人工智能讲义

本压缩软件有vc++图象处理编程的源代码，相信会对从事图像处理的各位有所帮助- This compression software has the vc imagery processing programming the source code, believed can to be engaged in picture processing each position to have the help

一个BAM神经网络的基本程序，通过这个程序可以使大家对BAM有一个详细具体的了解。-A BAM neural network basic procedures, the adoption of this procedure allows us to BAM has a detailed understanding.

昨天刚刚看到的A star算法类的实现，不知道对大家有没有用，参考一下吧-Yesterday, I saw a star of the algorithm to achieve category, we do not know of any use it for reference

WinSVM支持向量机预测分类使用指导书-WinSVM support vector machine classification for prediction guide book

nsga2非支配排序遗传算法，c++源码实现-nsga2 non-dominated sorting genetic algorithm, c++ source code to achieve

pre-fixSpan算法，该算法是C++语言实现的，主要用模板实现prefixspan的投影数据库架构及模式生长功能

通过遗传算法对高校排课问题的解决，在高校的十佳环境中运行效果良好-Through the College Course Scheduling of genetic algorithms to solve the problem, in the top ten colleges and universities run the effect of environmental good

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

加拿大一大学开发的Fuzzy Clips的全套程序附带使用说明文件，可用于模糊推理机的开发。-Canada, developed at the University of Fuzzy Clips a complete program that comes with the use of documentation, can be used for fuzzy inference engine development.

前馈神经网络算法-feed forward neural network algorithm