一个进行数据挖掘的好方法，可以对数据集中的频繁项进行挖掘。但是有一定的缺点，还有需要改进的地方！...

遗传基因算法源代码(资料)，C++源代码，是研究遗传算法的入门程序。-genetic algorithm source code (information), C source code, is to study the genetic algorithm entry procedures.

遗传规划算法的VC程序实现 智能算法：遗传规划，即关于GP的VC代码程序，在项目文件中包含了GP的程序设计代码和经典问题求解程序。可以参考该程序进行遗传规划的程序设计工作，用于自己的毕业设计中。-genetic programming algorithm for the VC program Intelligent Algorithm : genetic programming, on the VC GP code procedures, the project document contains GP programming code and classic problem solving process. Can refer to the procedures of genetic planning process design work for their graduation design.

线性神经网络，BP神经网络，Hopfield神经网格，Elman神经网络，RBF神经网络；在模型应用模块中实现了六种实际应用：RBF网络的船用柴油机故障诊断，BP网络的齿轮箱故障诊断，SOM网络的回热系统故障诊断，BP网络的设备状态分类器，SOM网络的人口比例样本分类，SOM网络的土壤性状样本分类。-Linear neural network, BP neural network, Hopfield neural network, Elman neural network, RBF neural network application modules in the model to achieve practical application of Six: RBF network of marine diesel engine fault diagnosis, BP network gearbox fault diagnosis, SOM network regenerative system fault diagnosis, BP network classifier equipment, SOM network the proportion of the population sample classification, SOM network classification of soil samples.

模式识别中的CYK算法-pattern recognition algorithm for the CYK

基于遗传算法优化神经网络结构源程序-based on genetic algorithm optimization neural network structure source

八数码问题用A*算法实现 VC++6.0实现的八数码问题-eightnum

7。《进化算法》，云庆夏编着 冶金工业出版社 2000年第一版 全书共分5章，分别为绪论、遗传算法、遗传规划、进化策略、进化规划。-7. "Evolutionary algorithm," Yun Qing Xia compile Metallurgical Industry Publishing House in 2000 the first edition of the book is divided into five chapters, each of the introduction, Genetic algorithms, genetic programming, evolutionary strategy, evolutionary programming.

神经网络算法 神经网络算法 -BP networksBP networksBP networksBP networksBP networks

基于RBF网络的机器人手臂运动关节的仿真实例。利用RBF网络实现机器人手臂运动关节的仿真实例建模。-RBF network based on the movement of the robot arm joint simulation. RBF network using the robot arm joint movement simulation modeling.

神经网络的源程序，一个比较新的算法，分类效果较好！-neural network source, a relatively new algorithm, better classification results!