JAVA版的蚂蚁算法(Ant Colony Optimization Algorithms)

来自于www2.cs.uregina.ca的c4.5源码-from the Bank www2.cs.uregina.ca FOSS

将遗传算法与蚁群算法相相结合，产生的一种新算法-genetic algorithm and ant algorithm combination of a new algorithm

用mathlab编写的经典的模拟退火应用程序，包括图着色问题，最大截问题等-Mathlab prepared to use the classic simulated annealing applications, including graph coloring problem, the largest cut-off problems

开发环境:Matlab 简要说明:自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。-development environment : Matlab Brief Description : Self-Organizing Map model (Self-Organizing Map feature), a neural network that external input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is automatic End %. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method.

自适应遗传算法 最基础的版本需要可以自己修改目标函数-Adaptive genetic algorithm version of the most basic needs can modify the objective function

BP神经网络的C语言实现-Neural Network C Language

Prolog开发的简单的几个人工智能方面的程序.含问题分析报告.-Prolog development of a few simple artificial intelligence procedures. The report containing analysis.

本程序实现了多城市的tsp问题（即旅行商问题）的遗传算法-the process of multi-city tsp (ie, the traveling salesman problem) Genetic Algorithm

基于C语言人工免疫源程序,包括二进制编码的简单遗传算法源程序，二进制编码的简单克隆选择算法源程序-Artificial Immune-based C language source code, including a simple binary-coded genetic algorithm source code, binary-coded clonal selection algorithm simple source

Schapire 所著的Boosting算法的教程。 对目前物体识别和机器学习领域中广泛应用的Boosting算法展开了深入浅出的描述，还有很多Toy Examples。-Tutorial for Boosting algorithm by Schapire