空间作战的C++实现的基于神经网络可以学习如何玩好。

平台vs2005 模拟固体退火算法实现144个城市的旅行商问题，可设置具体参数-VS2005 simulation platform to achieve solid annealing algorithm 144 city traveling salesman problem, you can set specific parameters

用人工神经网络实现异或的功能。用反向传播算法（BP）来实现神经网络，正确率可以达到80% -using artificial neural network XOR functions. With back-propagation algorithm (BP) to achieve neural network, can achieve an accuracy rate of 80%

一个比较好用的中文分词模块,是车东等人开发的,比较有名,java语言实现-a better quality of the Chinese word module, East cars were developed, more famous, java language!

电梯程序，包含了上、下、停留等功能。还有关于优先级的设置。-Elevator procedures included upper and lower, to stay and other functions. Also on the priority settings.

通过C4.5 的实现可以进行构建决策树 来进行有效的分类-Through the realization of C4.5 decision tree can be constructed to carry out an effective classification

基于VB开发的粒子群优化算法的软件及源程序。-VB on the development of particle swarm optimization software and source code.

PSO--粒子群优化算法程序在vc++.net 2003下可实现的-PSO Particle Swarm Optimization procedures vc++. Net 2003 can be achieved

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

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.

包括883分酒问题，图的遍历等人工智能基本算法-Including 883 hours of liquor problem, artificial intelligence, such as graph traversal algorithm