高斯混合模型算法

经典的BNP神经网络例子-classic example BNP neural network

利用遗传算法进行文本聚类的特征选择.把一种特征组合看作一个染色体，对其进行二进制编码，引入文本集密度作为适应度函数进行特征个体适应度的评价. -The use of genetic algorithm feature selection in text clustering. To a combination of characteristics as a chromosome, its binary code, the introduction of text set density as a characteristic of fitness function for evaluation of individual fitness.

使用小波熵法对电力负荷时间序列进行预测。-using wavelet entropy method of load time series prediction.

基于遗传算法的基元识别与提取，C++源代码-Based on genetic algorithm identification and extraction of primitives, C++ Source code

用mfc写的一个五子棋游戏，不含人工智能-mfc written with a 331 game, which was non-AI

猜数字游戏的小AI,有一定的准确程度,有兴趣的人可以-tones of the small game AI, a certain degree of accuracy, interested people can s

he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.

SPEA2源码，效果相当好 ZIZTLER系列复杂函数只有第三个效果不太好-SPEA2 source, the effect ZIZTLER very good series of complex functions, only the third effect is not a good

一个A*算法的的实现过程的演示，是个非常清晰的能理解到A是怎么实现的-A* algorithm is a realization of the demonstration process, it is a very clear to understand how the realization of A

BOLTZMAN（vc＋＋编写的程序神经网络程序）