这是一个非常好用的蚂蚁算法(蚁群算法)模拟程序,很好用噢,快来试试吧...

用遗传算法解决01背包问题，内附测试数据。-Using genetic algorithms to solve knapsack problem 01, enclosing the test data.

Mining sequential patterns with constraint (SPADE with constraint)

用遗传算法写的软件,非常有用! 值得大家一看!-using genetic algorithms to write the software, very useful! Worth a look!

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.

一个人工智能方面的小程序,用OPENGL和VC++做到,希望对大家有所启发-artificial intelligence of a small program, OpenGL and VC done, we hope to inspire

用9*9的矩阵显示字符0~9。 对BP网络进行训练后，可以识别带有一定噪声的字符。-Neural Nerwork。

利用竞争学习进行模式分类实例-using competitive learning example for pattern classification

它是一个基于遗传算法的优化方法，使用微分运算符。它用于解决带有大量未知事物的优化问题。-it is based on a genetic algorithm optimization method, the use of Differential Operators. It used to solve a large number of unknown things with the optimization problem.

Fuzzy Rule Base Implementation

CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation