一种基于蚁群算法的聚类组合方法，具体可以查看里面书的内容。

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.

基于粒子滤波原理，选取颜色特征对目标进行描述，实现视频目标的实时跟踪，效果较好。-Principle-based particle filter, select the color characteristics of the target description, realize the goal of real-time video tracking, better.

一个机器人信息显示系统，代码比较全，你会喜欢的-Information display system of a robot, code-wide comparison, you would like

Mitchell的《机器学习〉随书源码，非常不错-Mitchell"s "machine learning> With the source book, very good

More AI...(GEP) Gene Expression Programming in C# and .NET 由Michael Gold用C#开发的GEP程序.-AI ... (GEP) Gene Expression Programming in C# and. By Michael Gold NET C# development of the GEP procedures.

模式识别一份很好的作业,包括线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, support vector machines

机器人足球实现的核心代码-Robot Soccer realize the core code

人工智能课程的实验中用C语言环境实现子句归结的算法和反映-experimental artificial intelligence courses using C language environment to achieve phrase attributed to the algorithm and reflect

遗传算法的教材1-GA teaching a

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.