用c语言编写的粒子群算法程序，下载后可以直接使用

自己编写的人工智能小模型，可实现逻辑推理功能

《人工神经元网络》含有实用的网络模型、学习规则和训练方法的一些算法程序，对学习人工智能，模式识别的人有一些帮助！-"artificial neural network" contains practical network model, learning rules and the training methods of some algorithm for the study of artificial intelligence, pattern recognition of some help!

遗传算法多点交叉算法-genetic algorithms more cross-Algorithm

一类球型分布问题的实现-a ball-type distribution of achievement

粒子群算法的实例，应用于无线网络节点的动态布署等。图和表显示结果-Examples of particle swarm optimization applied to the wireless network nodes, such as dynamic deployment. Graph and table shows the results of

The purpose of this computer program is to allow the user to construct, train and test differenttypes of artificial neural networks. By implementing the concepts of templates, inheritance andderived classes from C++ object oriented programming, the necessity for declaring multiple largestructures and duplicate attributes is reduced. Utilizing dynamic binding and memory allocationafforded by C++, the user can choose to develop four separate types of neural networks:

bp神经网络技术用于步态识别的vc源程序

Visual C++实现的基因遗传算法库源代码以演示程序Free Source Code for Genetic algorithm 2008年05月21日 C++, Windows, Win32, Visual Studio, MFC, STL, Arch, Dev, Design 基因遗传算法都是针对概率的，所以因为其随机的本质，导致其结果可能是好的，也可能是坏的，于是我们就需要一个方法确认这个解到底有多大的可用性。这是通过计算相似拟合度进行衡量的。染色体Chromosomes代表了基因遗传算法的结果。每次迭代，算法生成一个染色体，这些子孙染色体又会产生新的迭代……关键内容 这个基因算法库是用 Visual Studio 2005 编写的程序，第一个使用 Microsoft C/C++ 编译器，第二个使用Intel C++ 编译器。 如果你希望在你的程序你使用它，有两个办法，1是直接引用 Genetic Algorithm Library 项目，然后编译；2是添加GeneticAlgorithm.lib 静态链接库到项目中-err

OPENCV系列的，关于CORE，应该挺有用的，大家自己看看吧！-OPENCV series of CORE, should be quite useless, we all see!

遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology."