the set of neural network Genetic Algorithm

聚类CLIQUE算法 的基本思路.zip-clustering algorithm basic ideas. Zip

单点交叉 单点变异 确定式选择法 自适应的遗传算法生成最小树-Adaptive genetic algorithm generates minimum spanning tree

基于信息熵的免疫算法，解决TSP问题的，但是我也是初学，这个看不太明白，共享一下吧-Entropy-based immune algorithm to solve TSP problem, but I am also a beginner, do not quite understand this view, share yourself

自己编的遗传算法同BP神经网络结合的代码！并且在神经网络模型上进行多目标寻优，结果有doc文档详细说明！实现BP-GA多目标优化应用实例！-Own genetic algorithm with BP neural network combined with the code! And in the neural network model for multi-objective optimization, the result document has a detailed description doc! Realize BP-GA multi-objective optimization application examples!

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

SVM是一种优秀的分类算法，常用于用于回归分析和分类，而matlab语言的libSVM则为广大使用matlab进行设计的人员提供很好的帮助。-libSVM for regression classification

vs2005开发 遗传算法求解144城市的旅行商问题-VS2005 to develop genetic algorithm 144 city traveling salesman problem

knn算法的实现，框架十分清楚。是经典的东西-KNN algorithm, the framework is very clear. Is a classic East-West

LIBSVM源码。LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、 易于使用、快速有效的通用SVM 软件包，可以解决分类问题（包括C- SVC、 n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ） 等问题，提供了线性、多项式、径向基和S形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。-LIBSVM source. LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.

用parzen窗方法，估计概率密度，采用高期核函数-With parzen window means of estimating the probability density function using high nucleus. . . .