一种运算效率较高的遗传算法

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."

该算法为基于控制规则表的模糊PID控制 用MATlab开发，能够管直接运行-The algorithm for the control rules based on fuzzy PID control table with Matlab development, to pipe directly run

基于bp人工智能的图像识别的技术，配套源代码-bp artificial intelligence-based image recognition technology and supporting source code

根据粒子群算法的特点，用vc写出了源程序，可以实现粒子群的优化-According to the characteristics of particle swarm optimization, using vc wrote source code, you can achieve the particle swarm optimization

matlab编写的遗传算法，采用二进制编码，有说明文档。-Matlab prepared by the genetic algorithm, using the binary coding, documentation.

利用c语言实现人工智能神经网络的bam算法-Using c language bam neural network artificial intelligence algorithms

CLustream算法实现程序-CLustream algorithm program! ! ! ! ! ! ! ! ! ! ! ! ! ! !

本程序是使用APRIORI算法搜索相关联的项目，在搜索前需要用户先对项目的个数和最低支持度进行设置，然后程序就会在指定的项目是找出满足最低支持度的相关联的频繁项目集-This procedure is to use search algorithms APRIORI associated projects, the needs of users in the search before the first number of the project and set the minimum degree of support, and then the procedure will be in the designated project is to identify a minimum degree of support to meet the frequently associated itemsets

RBF神经网络应用于IRIS数据集的例子-Am example of RBF-NN applied on IRIS Data Set

GEP（基因表达式程序设计）是一种新的演化算法，该文件是基本的GEP编程，采用功能的封装格式，测试通过，能够方便的使用。-GEP (Gene Expression Program Design) is a new evolutionary algorithm, which is the basic GEP programming, functional package format, through testing, to facilitate their use.