差分进化算法的一篇全国优秀硕士论文，目前国内对此的研究还处于初步阶段...

模式识别中的几个常用算法，包括ISODATA算法、K－均值算法、感知器算法、LMSE最小误差、贝耶斯分类。-pattern_recognition have some usual algorithm,including ISODATA algorithm,K-means algorithm,apperceive algorithm ,

BP神经网络的C语言实现，对理解神经网络很有帮助。-BP neural network to achieve the C language, very helpful in understanding the neural network.

人工智能AI经典入门书，很难找的噢，给喜欢的朋友-classical AI Artificial Intelligence portal, it is very difficult to find the, uh, likes to friends

演化程序――遗传算法和数据编码的结合 具体介绍了遗传算法的应用-evolutionary process-- genetic algorithms and data encoding the specific combination of the application of genetic algorithms

人工智能与模糊控制_电力系统-artificial intelligence and fuzzy control _ Power System

基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source

ADALINE(神经网络 vc＋＋编写的)-ADALINE (neural networks, prepared by vc )

利用c语言实现人工智能神经元网络的hopfield算法-Use c language to achieve artificial intelligence neural network algorithm hopfield

模拟退火生成树，一种比较好分类方法。程序简单，易懂。-simulated annealing Spanning Tree, a better classification. Simple and straightforward.

k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, through the k-means (Euclidean distance) clustering algorithm we are able to a preliminary understanding of the principles of data mining .