遗传算法，通过选择、交叉、变异求取函数最优解c程序简单实现，并拥有最优保存思想。...

用c++实现的决策树算法，windows环境下，希望对学习数据结构和算法的朋友有所帮助。-achieve with the Decision Tree Algorithm, windows environment, and I hope to learn from data structures and algorithms friends help.

kmeans算法,许多同学做毕设需要用到-kmeans algorithm, many students needed to do to complete set up

贝叶斯优化算法是一种新的演化算法，通过贝叶斯概率统计的知识来学习后代，可是使演化朝有利的方向前进，程序用C实现了贝叶斯优化算法。-Bayesian Optimization Algorithm is a new evolutionary algorithm, through Bayesian probability and statistics to learn the knowledge of future generations, but to enable the evolution towards a favorable direction, procedures C achieved a Bayesian Optimization Algorithm.

用C++实现遗传算法求解TSP问题.txt-C++ for TSP

This code is to estimate the parameter of model of Mixture Gauss which is popular model used in pattern classification . JAVA 写的估计复合高斯模型中的参数 -This code is to estimate the parameter of model of Jian Gauss which is popular model used in pattern classification. Java was estimated composite Gaussian model parameters

神经网络C源程序（nnbp)-neural network C source (nnbp)

基于Matlab的函数优化遗传算法程序 .-based on Matlab function of genetic algorithm optimization procedures.

决策树分类C5.0算法的C语言实现源码！-C5.0 decision tree classification algorithm realize the C language source code!

特别是在题库管理模块中对自动组卷功能常用的算法（包括随机选取法、回溯试探法和遗传算法）进行了比较。对于较流行的验证码技术也给出了具体实现。-particularly in the examination management module to automatically making up the algorithm commonly used functions (including random selection method, Retrospective testing and genetic algorithm) were compared. For more popular authentication code technology has provided a concrete realization.

该系统使用极其简便，即使 你对各种网络模型不是很深刻的了解，也可以很好的使用该系统。使用时， 你可以自己修改网络的各种参数，交互性较好，而且该系统通过大量的图示 及参数设置，可以让你了解每个应用实例实现的过程及详细步骤。-The system is extremely easy to use, even if you have to various network model is not very profound understanding can be a good use of the system. When used, you can change the network"s own parameters, interactive better, but the system through a lot of icon and parameter settings, so you can understand each application process and the realization of detailed steps.