vb apriori algorithm

多层权核k均值算法，原作者Yuqiang Guan，现在将他共享，与大家共同学习！-Multi-layer k-means algorithm for nuclear power, original author Yuqiang Guan, will now share him with everyone learning together!

利用遗传算法进行文本聚类的特征选择.把一种特征组合看作一个染色体，对其进行二进制编码，引入文本集密度作为适应度函数进行特征个体适应度的评价. -The use of genetic algorithm feature selection in text clustering. To a combination of characteristics as a chromosome, its binary code, the introduction of text set density as a characteristic of fitness function for evaluation of individual fitness.

C 语言编缉神经网络工具-neural network tools edited by C language

Aprior算法实现程序-Aprior algorithm program! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !

模糊控制与PID控制比较,模糊控制仿真的阶跃响应-fuzzy control

二进制的基本遗传算法，在VC++环境下编程实现。-binary basic genetic algorithm, the VC environment programming.

关于 模式识别 中 C均值 和ISODATA 算法的C++实现 程序以一个二维的数据为例 真实的展现出两类算法的效果-implement C_Means and ISODATA algorith. Taking 2-D data foe example, show the effect of the two algoriths.

这是用VC编程实现模糊控制来控制机器人的运动-The misty control imitate really

用模拟退火算法求解TSP问题-simulated annealing algorithm for TSP

本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。 具体效果可参考 G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006. -I prepared by incremental random neural network algorithm, which is characterized by the largest approximation properties can be guaranteed, and fast good results can be used as an academic comparison and analysis. The current benchmark is only suitable for the regression problem. Specific effects may refer G.-B. Huang, L. Chen and C.-K. Siew,