模式识别下的ISODATA算法 例子为IRIS数据库数据

这是书上的常用搜索算法，有8数码游戏，黑白棋，A star算法类的实现。-This is a book commonly used search algorithm, there are 8 digital game, Reversi, A star algorithm category realize.

基于FIR神经网络的非线性盲信号分离-FIR based on the nonlinear neural network Blind Signal Separation

建立Fuzzy模型－序列预测matlab代码-Fuzzy model-building- sequence prediction matlab code

最邻近的RBF算法,MATLAB实现,较为有价值的资料.-The nearest RBF algorithm, MATLAB realize, the more valuable information.

一个牛人的神经网络支持向量机代码,对于搞模式识别的朋友强烈推荐!-A wonderful program of svm code coming from a superman,and strong recommendation to someone who learn about pattern-recognition .

这是用prolog写的几个程序：程序１是一个旅行社关系系统，程序２是一个家族关系系统，程序３是一个成绩管理系统-This is prolog written several programs : a procedure is a travel agency relations systems, procedures 2 is a family relationship systems, procedures 3 is a performance management system

primes factor in scheme

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.

自己汇总了几个关于rbf的源程序，用于初学者学习-Own summary of a few on the rbf source for beginners to learn

通过MATLAB实现的打砖块游戏(breakout)，内含netlab人工神经网络工具箱-The implementation of a interesting game "breakout" using MATLAB, also a netlab toolbox of artificial neural network is included.