介绍 ROBOCUP 3D SERVER的一些资料，网少比较少的，有兴趣的朋友可以研究看看。...

模拟退火c++的算法程序，广泛应用于最优化、运筹学、人工智能、遗传算法等领域，具有很好的学习价值-simulated annealing algorithm procedures, the most widely used optimization, operations research, artificial intelligence, genetic algorithms and other areas of learning is very good value

高手学习人工智能心得体会。想学习人工智能的可以来-master learning artificial intelligence experiences. Want to study artificial intelligence can s

采用蚁群算法解决旅行商问题，IDL语言编写，动态现实中间过程。-Using ant colony algorithm to solve traveling salesman problem, IDL language, dynamic realities of the middle of the process.

这是一个研究人工智能中蚂蚁算法的研究性文档,对想了解这方面内容的人相当有益,很难才找到的-This is a study artificial intelligence ant algorithm research documents, to think about it as a very useful one, it is difficult to find the

FAST apriori.cpp 基于数组和为运算的apriori算法实现,采用为运算来测试子集的存在性，把测试子集存在性的复杂度由O(n^2)降低为O(n)-FAST apriori.cpp array-based computing and for the apriori algorithm, adopted as the operator to test the existence of a subset to test the existence of a subset of the complexity from O (n ^ 2) reduced to O (n)

题目：模糊模式识别迭代模型及在优选水电装机中的应用-Topic:The misty mode identifies the generation model and packs the application in the machine in the optimization water electricity

支持向量机Windows Svm-Support Vector Machines of Windows Svm

L-M算法。除了动量法(基于梯度下降的训练算法)外，学习率自适应调整策略是BP算法改进的另一种途径，它利用Levenberg-Marquardt优化方法，从而使得学习时间更短。其缺点是，对于复杂的问题，该方法需要很大的存储空间。 -L-M algorithm. In addition to momentum (based on the gradient descent algorithm for training), learning rate adaptive strategy is to improve the algorithm BP Another approach, which uses Levenberg-Marquardt optimization method, which makes learning time is even shorter. Its weakness is that the complex problems that the method requires a lot of storage space.

清华仿真机器人2002年源码.rar。可以从下面这个网址找到更详细的内容。 http://www.lits.tsinghua.edu.cn/robocup-Qinghua robot simulation source code in 2002. Rar. From below the site to find more details. Http://www.lits.tsinghua.edu.cn/robocup

神经网络模式识别及其实现，第八章。 内含：KMEANS 、KOHONEN 、LVQ 、SOFM 算法。-pattern recognition and neural network to achieve, Chapter VIII. Intron : KMEANS, KOHONEN, LVQ, SOFM algorithm.