本程序是用c语言编写的基于决策树分类方法的数据挖掘算法，它对测试集进行分类，挖掘出潜在的规则...

通过人工神经网络实现异或问题的解决，用visual c++开发-through artificial neural network or differences in the solution of problems with the development of visual c

MATLAB编写的粒子群优化算法,好用！-MATLAB prepared particle swarm optimization algorithm, easy to use!

Genetic Algorithm (GA) based solver for the Traveling Salesman Problem

有关优化的遗传算法-the genetic algorithm optimization

c++语言实现基于遗传算法的TSP问题，是学习遗传编程的很好的例子-c++ language implementation of the TSP problem based on genetic algorithms, genetic programming to learn a good example of

结合均匀设计表和小边经验公式产生初始种群，使TSP应用遗传算法能求出更优更快解，详尽说明见paper.doc。-uniform design combining a small side table and have empirical formula initial population, TSP application of genetic algorithms can be obtained faster and better solutions, detailed description of paper.doc.

全面讲解了有视觉机器人的解决方案，强烈推荐-comprehensive account of a robot visual solutions and strongly recommended

一种改进的免疫遗传算法的性能分析,万方数据库下载-An improved immune genetic algorithm performance analysis,万方Database Download

本程序用于分类两类数据，分类速度很快，如果分类多类可能还要修改-This procedure for the classification of two types of data, classification fast, if the classification of many types, which may need modification

调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB(DP, test_targets, CM) DP，三维数组，(i,j,k)为第k个样本的DP矩阵 targets 为 0 1 2 -process called CM = Confusion_matrix (train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB (DP, test_targets, CM) DP, three-dimensional array (i, j, k) for the k samples of DP matrix targets for 0 1 2