本程序是使用APRIORI算法搜索相关联的项目，在搜索前需要用户先对项目的个数和最低支持度进行设置，然后程序就会在指定的项目是找出满足最低支持度的相关联的频繁项...

遗传算法进行优化神经网络结构-genetic algorithm optimization neural network architecture! !

神经网络C程序的第8章-neural network C procedures for the Chapter 8

matlab神经网络应用设计-Matlab neural network application design

遗传算法人工生命模拟,这是一个遗传算法关于人工生命模拟的实例-Artificial Life Simulation of genetic algorithm, which is a genetic algorithm on the example of artificial life simulation

神经网络预测程序代码 -Neural network code

fan_nncC语言神经网络程序包-fan_nncC language neural network package

自适应变步长定向变异遗传算法解函数优化问题 需要调用GAOT5.-Adaptive Variable step directional variation of genetic algorithm optimization solutions function call GAOT5 needs.

此编码是一个数据挖掘的决策树各种算法。以作为入门提示-this code is a decision tree data mining algorithms. As a portal to suggest

应用径向基神经网络作预测的matlab程序-application RBFNN forecast for the Matlab procedures

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.