人工智能的教材啊

这是一个简单的人工智能的例子 希望大家能以此为作出更好的 更完善的

迁移学习的经典文章，大多为国际顶级会议论文-Transfer of learning classic articles, most of the international top-level Conference Papers

该算法包含了一些以MATLB工具箱为基础自己开发的一些遗传算法程序。-The algorithm contains a number based on its own toolbox to MATLB developed some of the genetic algorithm program.

用c语言实现的bp神经网络实现异或功能，比较好用 -use the C Language bp neural network XOR functions, better quality

K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K－均值聚类的的时间复杂度是n*k*m，其中n为样本数，k为类别数，m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类，寻找最优，列举一遍约66.7天，分成3类，则要约3500万年。针对算法局部最优的缺点，本人正在编制模拟退火程序进行改进。希望及早奉给大家，倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.

隐马尔科夫模型工具箱最新版本，可以广泛应用于识别等领域-HMM Toolbox latest version can be widely applied in areas such as identification

扩展的Infomax算法，具有比较快的收敛速度！而且程序非常简洁,明了-expansion of Infomax algorithm, with a faster rate of convergence! The procedure is very simple, straightforward

实现了一个简单的花朵进化的模拟过程。 花朵的种群数量是10，共进化了50代。 -The realization of a simple simulation of the evolution of flowers. Flower populations is 10, a total of 50 on behalf of evolution.

数据挖掘k-measextions 算算法，改进了其中部分结构。-Data Mining k-measextions counting algorithm, to improve some part of the structure.

svm light 大家可以参考哈哈啊-svm light we can reference ah ha ha ha ha ha ha