使用labview编写的dice游戏，很有趣味性。

人工智能一个运行平台，可以很方便的将你的一些代码的执行-an artificial intelligence platforms can be very convenient to some of your code implementation

粗糙集软件Rosetta，由挪威科技大学计算机与信息科学系和波兰华沙大学数学研究所合作开发的一个基于Rough集理论框架的表格逻辑数据分析工具包-Rough Set software, Rosetta, by the Norwegian University of Science and Technology, Department of Computer and Information Science, University of Warsaw, Poland Institute of Mathematics, co-developed a theoretical framework based on Rough Set the table logical data analysis tool pack

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

神经网络中学习矢量量化模型算法的源程序，属于有导师学习！-Neural network model of learning vector quantization algorithm source code, which has instructors to learn!

一个图像文字识别软件源码，可以识别给定图像上的文字并导出文档-An image source text recognition software to identify a given text and images on export documentation

路由选择过程的c算法程序 与DSR 只是简单地使用最短路径不同，EMRPC 使用了更复杂的路由选择机制以实现多径路由和能量均衡。-process of routing algorithm c procedures and DSR is simply to use the shortest path different. EMRPC use of a more complex routing mechanisms to achieve multi-path routing and energy balance.

针对TSP问题，使用蚂蚁演算法求最佳解！程式还满美观唷！-against TSP, the use of the ant algorithm for the optimal solution! Program was one of appearance Police!

神经网络C程序的第10章-neural network C procedures for the Chapter 10

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.