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。...

JVT-Z203_jsvm.rar

利用遗传算法自动进行排课-Using the genetic algorithm automatically Timetable

这是马少平 朱小燕编著的人工智能配套课件，由清华大学出版社出版-This is Ma Shao-ping ZHU Xiao-yan matching artificial intelligence authoring courseware, from Tsinghua University Publishing House

kalyp是人工生命和神经网络方面架构最全的代码，对于进行仿真代码实现很有参考价值。-kalyp of artificial life and neural network architecture of the entire code for simulation code to achieve great reference value.

这是一个指纹识别的源代码,指纹识别是比较成熟的模式识别!`-This is a fingerprint identification of the source code, fingerprint identification is a relatively mature pattern recognition! `

这是一个基于WEB的树木分类专家系统asp源代码,对于初学者特别有帮助!-This is a Web-based expert system for classification trees asp source code, especially for beginners help!

将强化学习算法应用于Tic-tac-toe游戏-The reinforcement learning algorithm is applied to Tic-tac-toe game

Counterpropagation Network Vision 源码, 经典的CPN人工神经网络例子源码-Counterpropagation Network Vision source, CPN classic example ANN FOSS

朴素贝叶斯分类器（Navie Bayesian Classifier）识别鼠标输入的字母A～J-Naive Bayesian classifier (Navie Bayesian Classifier) Identification of the mouse input letters A-J

Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42. 使用神经网络集成方法诊断糖尿病,肝炎,乳腺癌症的案例研究. -Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42.