关联规则中的频繁项集生成算法TreeMiner，可在linux和windows下编译运行。...

利用Fisher分类器对数据进行分类，并画出决策面（含测试数据）-Fisher classifier using the data classification, and face painted in decision-making (including test data)

bell 实验室周期性关联规则挖掘算法。-Cycle Association

自适应遗传算法matlab代码.自适应遗传算法的问题是很容易早熟,好处就是速度快 .不过我将在其中会引入一个早熟判定标志的，并设定一个阈值，如此以来，就可以防止早熟现象了 -Adaptive genetic algorithm Matlab code. Adaptive genetic algorithm is very easy precocious, advantage is faster. However, in which I will be introducing an early sign of determination, and set a threshold, so, you can prevent precocious phenomenon

MATLAB编写的BP神经网络程序，好用。-MATLAB prepared by BP neural network procedures, easy to use.

这是一个人工智能方面专家系统的例子，建立动物识别专家系统的规则库，并用与/或图来描述这个规则库。-This is an area of artificial intelligence expert system for example, the establishment of animal recognition expert system rule base and used and/or graph to describe the rule base.

神经网络 多级神经网络仿真-neural network multi-level neural network simulation

用C语言实现的BP网络的程序,严格按照BP的算法流程,开发环境为WIN-TC-C language of BP procedures in strict accordance with the BP algorithm. Development Environment for the WIN-TC

K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K－均值聚类的的时间复杂度是n*k*m，其中n为样本数，k为类别数，m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类，寻找最优，列举一遍约66.7天，分成3类，则要约3500万年。针对算法局部最优的缺点，本人正在编制模拟退火程序进行改进。希望及早奉给大家，倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.

遗传算法在matlab中的实现-genetic algorithm in the realization of Matlab

双峰和多峰函数最大值的遗传算法求解 采用前向网络-Bimodal and multimodal function maximum use of the genetic algorithm to the network