本人这学期写八数码作业，采用三种人工智能算法，在vc2003开发完成...

科罗拉多大学开发的人脸识别系统,要在UNIX下运行.-developed at the University of Colorado, the face recognition system to run under UNIX.

人工智能经典问题TSP问题的Java实现，内含源程序和调试过程生成的文件-AI classic TSP Java realize that contains source and debugging process produces files

神经网络的HP算法，这是学习神经网络的入门课程．-HP neural network algorithm, which is learning neural network-oriented courses.

用BP算法实现数字识别功能，可以显示状态变化图-BP algorithm digital identification function can demonstrate that changes in state plans

基于C开发的三个隐层神经网络，输出权值、阈值文件，训练样本文件，提供如下函数：1）初始化权、阈值子程序；2）第m个学习样本输入子程序；3）第m个样本教师信号子程序；4）隐层各单元输入、输出值子程序；5）输出层各单元输入、输出值子程序；6）输出层至隐层的一般化误差子程序；7）隐层至输入层的一般化误差子程序；8）输出层至第三隐层的权值调整、输出层阈值调整计算子程序；9）第三隐层至第二隐层的权值调整、第三隐层阈值调整计算子程序；10）第二隐层至第一隐层的权值调整、第二隐层阈值调整计算子程序；11）第一隐层至输入层的权值调整、第一隐层阈值调整计算子程序；12）N个样本的全局误差计算子程序。-C development based on the three hidden layer neural network, the output weights, threshold documents, training sample documents, for the following functions : a) initialization, the threshold subroutine; 2) m learning samples imported subroutine; 3) m samples teachers signal Subroutine ; 4) hidden layer of the module input and output value subroutine; 5) the output layer of the module input and output value subroutine; 6) the output layer to the hidden layer subroutine error of generalization; 7) hidden layer to the input layer subroutine error of generalization; 8) the output layer to the third hidden layer Weight adjustment, the output layer threshold adjustment routines; 9) 3rd hidden layer t

经典的数据关联挖掘算法prefixspan-Classical data association mining algorithm PrefixSpan

简单的人工智能程序ELIZA的C源程序代码 8K-simple artificial intelligence ELIZA C source code 8K

神经网络仿真的基本程序- Nerve network simulation main routine

经典的粒子群源代码！详细的备注、严谨的语句是初学粒子群的好东西-The classical particle swarm source code! Detailed comments, rigorous statement is a good thing novice PSO

函数的遗传算法优化程序-function of genetic algorithm optimization procedures