人工神经网络BPN，人工神经网络BP算法源代码

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and ot

eview 编写的时间序列预报程序 可以用于金融预报，等-eview the preparation of time-series forecasting procedures can be used for financial forecasting, etc.

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

使用遗传算法求解邮递员问题，从而可以同时求得多个最优解-The use of genetic algorithm postman problem, which can be obtained at the same time more than the optimal solution

遗传算法的全部代码！c编程源码，有readme 和可执性文件！-all the genetic algorithm code! C programming source, and they readme document!

神经网络OOP类库，含有BP网络等的训练，很容易对其进行扩展，-neural network OOP libraries, containing BP network of training, it is easy to extend them

用mfc写的一个五子棋游戏，不含人工智能-mfc written with a 331 game, which was non-AI

这是目前网上所能找到的最全面的adaboost的C++算法，但是需要自己训练的数据-This is the Internet can find the most comprehensive adaboost C algorithms, However, it needs its own training data

本程序实现的是关联规则挖掘领域中规则发现算法.-this program is the Mining Association Rules field rules algorithm.

遗传算法的实型表示实现，与大家共享一下。实际应用中只需改变evalF.m就可以-Genetic algorithm, said implementation of the real, to share with you about. Practical application can only change evalF.m