人工智能人工神经网络源码，很不错的！！可以学习

一段采用BP神经网络算法的欠驱动机械臂平衡控制器的程序-Section of the use of BP neural network algorithm balance the underactuated manipulator controller procedures

用BP神经网络实现曲线的模拟-BP neural network simulation curve

关于apriori算法的一个小程序，用于数据挖掘关联规则，呵呵．-apriori algorithm on a small procedures for data mining association rules, Ha ha.

java数据挖掘算法，里面有c45,chc,fss,id3,nb等方面的算法，及相关源代码-data mining algorithms, and they C45, CHC, FSS, id3, nb areas of algorithms, and related source code

神经网络计算双色球程序，采用快速的神经网络函数来实现，准确度高-Loans neural network computing procedures, the use of a fast neural network function to realize high accuracy

maltab 的一个遗传算法的例子,比较全,有教你怎么初始化初始种群,设定参数,还有demo提供学习-A genetic algorithm using maltab gentitc toolbox ,abundant in content.Whats s more, you are teached how to initialize the initial population, set parameters. It also provide learning demos.

隐马尔科夫模型工具箱使用样本文件，可以广泛应用于识别等领域-HMM Toolbox using sample documents can be widely applied in areas such as identification

一个蚁群算法，大家很想要得东东，共享给大家了。-an ant colony algorithm, we want to fine Eastern, we had to share.

一个简单的遗传算法C++类-a simple genetic algorithm C

GENNET是一个通过遗传算法优化权重的16个神经元的全连接神经网络。训练目的是使网络在一定假设的激励下，随时间产生同目标函数同样的响应，即:可以把此网络制作为一个任意波形的信号发生器。 程序分3个示例说明遗传算法进化过程中网络输出的变化趋势。可以看出网络输出（蓝色曲线）随着时间变化逐渐逼近目标函数（红色曲线）。此程序不仅可以学习遗传算法，也可以用于研究全连接网络的直观示例。-GENNET is a genetic algorithm to optimize the weights by the 16 neurons fully connected neural networks. Training purposes is to enable network inspired by certain assumptions, over time, produce the same response with the objective function, namely: the network can be produced as an arbitrary waveform signal generator. Procedure, three examples illustrate the evolution of genetic algorithms in the network output trends. We can see that the network output (blue curve) changes over time, gradually approaching the objective function (red curve). This program can not only learn from the genetic algorithm can also be used to study visual example of a fully connected network.